TQS Journal Clubs 2005-06-09 11:00: Reading group: Bayesian inference via search (Thore Graepel) 2005-06-10 11:00: What we talk about when we talk about context (Alan Blackwell and Richard Harper, University of Cambridge / Microsoft Research Cambridge) 2005-07-07 11:30: multicanonical sampling (Ole Winther, IMM, DTU and Inference Group) 2005-07-08 11:00: An activity theory approach to affordance (Abi Sellen and Kasim Rehman, Microsoft Research / Computer Laboratory) 2005-08-05 11:00: Let's stop pushing the envelope and start addressing it: a reference task agenda for HCI (William Newman and Jost Schatzmann) 2005-09-02 11:00: Wicked Problems Revisited (Martyn Dade-Robertson and Alex Taylor) 2005-10-05 11:00: Knuth's "Lattice Duality: The Origin of Probability and Information" (Speaker to be confirmed) 2005-10-06 11:00: Bounding Rational Analysis: Constraints on the Approach to Optimality (Richard Young and Alan Blackwell, UCL/Cambridge) 2005-10-12 11:00: Knuth's "Lattice Duality: The Origin of Probability and Information" (2) (Speaker to be confirmed) 2005-10-19 11:30: Knuth's "Lattice Duality: The Origin of Probability and Information" (3) (Speaker to be confirmed) 2005-10-26 11:30: Knuth's "Lattice Duality: The Origin of Probability and Information" (4) (Speaker to be confirmed) 2005-11-02 11:30: Knuth's "Lattice Duality: The Origin of Probability and Information" (Speaker to be confirmed) 2005-11-03 11:00: User interface design with matrix algebra. (William Newman and David Mackay) 2005-11-09 11:30: John Skilling's "The Calculus of Rational Inference" (Speaker to be confirmed) 2005-11-16 11:30: Knuth's "Source Separation as an exercise in logical inference" (Speaker to be confirmed) 2005-11-23 11:30: Gull and Skilling's "The Maximum Entropy Method" (Speaker to be confirmed) 2005-11-24 11:00: Reading Group: "Learning to Predict by the Methods of Temporal Differences" (Speaker to be confirmed) 2005-11-30 11:30: Uffink's "Can the maximum entropy principle be explained as a consistency requirement?" (Speaker to be confirmed) 2005-11-30 15:00: reading-group: TD-Gammon (Speaker to be confirmed) 2005-12-01 11:00: The streamlined cognitive walkthrough method, working around social constraints encountered in a software development company (William Newman and Lorisa Dubuc) 2006-01-18 11:30: Uffink's "Can the maximum entropy principle be explained as a consistency requirement?" (Speaker to be confirmed) 2006-01-19 11:00: reading-group: Interpolating Between Types and Tokens by Estimating Power-Law Generators (Speaker to be confirmed) 2006-01-26 11:00: reading-group: Expectation Propagation (Speaker to be confirmed) 2006-02-02 11:00: An evaluation of integrated zooming and scrolling on small screens (Phil Tuddenham + Keith Vertanen) 2006-02-02 11:00: reading-group: Divergence measures and message passing (Speaker to be confirmed) 2006-02-09 11:00: Machine Learning Journal Club: "Sparse Gaussian Processes using Pseudo-inputs" (Speaker to be confirmed) 2006-02-16 11:00: Machine Learning Journal Club: "Assessing Approximations for Gaussian Process Classification" (Speaker to be confirmed) 2006-02-23 11:00: Machine Learning Journal Club: "Dependent Gaussian Processes" (Speaker to be confirmed) 2006-03-02 11:00: Project Ernestine: Validating a GOMS analysis for predicting and explaining real-world performance (Alan Blackwell and William Newman) 2006-03-17 11:00: Machine Learning Journal Club: "Gaussian Processes for Machine Learning" (Speaker to be confirmed) 2006-03-23 11:00: Machine Learning Journal Club: "Gaussian Processes for Machine Learning" (Speaker to be confirmed) 2006-03-30 11:00: Machine Learning Journal Club: "Gaussian Processes for Machine Learning" (Speaker to be confirmed) 2006-04-26 11:00: Machine Learning Journal Club: Gaussian Processes for Machine Learning Chapter VIII () 2006-05-03 11:00: "Weak pairwise correlations imply strongly correlated network states in a neural population" () 2006-05-04 11:00: Implications for Design (Abigail Sellen and Nathan Crilly) 2006-05-11 11:00: Hierarchical Bayesian inference in the visual cortex () 2006-05-18 11:00: Unsupervised Learning from Users' Error Correction in Speech Dictation () 2006-05-26 11:00: SUPERFAST SOLUTION OF REAL POSITIVE DEFINITE TOEPLITZ SYSTEMS (Oliver Stegle and Ryan Adams) 2006-06-01 11:00: Making by making strange: Defamiliarization and the design of domestic technologies (Jack Lang and Andrew Barry) 2006-06-01 15:00: Bayesian Sets (Speaker to be confirmed) 2006-06-08 11:00: Journal Club: Dirty paper coding and applications () 2006-07-06 11:00: Older People as a focus for Inclusive Design (Joy Goodman and Lorisa Dubuc) 2006-08-03 11:00: Understanding Non-Literacy as a Barrier to Mobile Phone Communication (Nathan Crilley and Lucia Terrenghi) 2006-08-22 11:00: Journal Club: "A Bayesian Analysis of Projective Incidence" (Piotr Zielinski) 2006-08-24 10:00: A Hierarchical Bayesian Language Model based on Pitman-Yor Processes (Hanna Wallach, University of Cambridge) 2006-09-01 11:30: Rethinking Information and Space in Ubiquitous Computing (Paul Dourish, University of California at Irvine) 2006-10-23 11:00: Expectation Consistent Approximate Inference (-) 2006-11-03 12:30: Journal Club: A Neural Probabilistic Language Model (-) 2006-11-09 13:00: Machine Learning Reading Group in Engineering Department (Speaker to be confirmed) 2006-11-10 12:30: Journal Club: "Document language models, query models, and risk minimization for information retrieval" (Phil Cowans) 2006-11-16 13:00: Nonlinear Dimensionality Reduction (Frederik Eaton and Arik Azran) 2006-11-17 12:30: Journal Club "Searching for memories, Sudoku, implicit check-bits, and the iterative use of not-always-correct rapid neural computation" (Philip Sterne) 2006-11-23 13:00: Partially Observable Markov Decision Processes (POMDPs) (Blaise Thomson, and Sinead Williamson) 2006-11-24 12:30: Journal Club: "Clustering appearance and shape by learning jigsaws" (David Stern) 2006-11-30 13:00: On Choosing Priors (Prof Zoubin Ghahramani, CUED) 2006-12-07 11:00: Using action research in information systems design to address change: a South African health information systems case study (Nathan Crilly and Cecily Morrison) 2006-12-08 12:30: Journal Club: "Reducing the Dimensionality of Data with Neural Networks" (O. Stegle) 2007-01-04 11:00: Emotion recognition in human-computer interaction (Tal Sobol-Shikler and Lorna Brown) 2007-01-18 13:00: Collaborative Filtering (Will Youzhi Zou and David Knowles) 2007-01-22 12:30: Estimation of non-normalized statistical models using score matching (David MacKay) 2007-01-26 13:30: Active Learning and Experimental Design (Andreas Vlachos and Bobby Gramacy) 2007-01-29 12:30: Loss Functions for Discriminative Training of Energy-Based Models (Speaker to be confirmed) 2007-02-01 11:00: How expert engineering teams use disciplines of innovation (Alan Blackwell and Chris Bishop) 2007-02-01 13:00: Non-parametric mixture models (David Knowles and Blaise Thomson) 2007-02-05 12:30: Gaussian Process Belief Propagation (Speaker to be confirmed) 2007-02-08 13:00: Latent Dirichlet Allocation and Dirichlet Diffusion Trees (Frederik Eaton and Sinead Williamson) 2007-02-12 12:30: Journal Club: "Bayesian Policy Gradient Algorithms" (Speaker to be confirmed) 2007-02-15 13:00: Neural Networks (Pedro Ortega and Will Youzhi Zou) 2007-02-22 13:00: Universal Artificial Intelligence, and Probability Monads (Pedro Ortega and Frederik Eaton) 2007-03-01 11:00: Moving on from Weiser's Vision of Calm Computing: engaging UbiComp experiences (Cecily Morrison) 2007-03-01 13:00: Some NIPS papers (Blaise, Katherine, and Zoubin) 2007-03-05 12:30: Journal Club: "Analysis of Contour Motions" (Speaker to be confirmed) 2007-03-08 13:00: An Introduction to Generalized Ensemble MCMC for Machine Learning (Ulrich Paquet) 2007-03-22 13:00: Topics in Convex Optimisation (Ryota Tomioka, University of Tokyo) 2007-03-29 13:00: GP-LVMs (Joaquin Quiñonero Candela) 2007-04-12 13:00: Change Point Problems in Linear Dynamical Systems (Onno Zoeter, Microsoft) 2007-04-19 13:00: Function Approximation in MDPs (Blaise Thomson, CUED) 2007-04-26 13:00: Gaussian Approximations for Binary Gaussian Process Classification, and Hidden Topic Markov Models (Hannes Nickisch, Katherine Heller) 2007-05-03 13:00: Optimal Learning (Carl Rasmussen) 2007-05-11 11:00: Affinity Propagation and Hierarchical Beta Processes (Arik Azran and Frederik Eaton) 2007-05-17 13:00: System Conditioning vs Explicit Bayes Inference, and Collaborative LDA (Pedro Ortega and Sinead Williamson) 2007-05-24 13:00: What can Gaussian Processes do for Reinforcement Learning? (Marc Deisenroth, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany) 2007-05-31 13:00: Overlapping Clusters and 4th-year Projects (Zoubin Ghahramani and Katherine Heller) 2007-06-07 11:00: How HCI Interprets the Probes (Alan Blackwell and Richard Harper) 2007-06-14 13:00: Infinite ICA and Information Retrieval (Will Youzhi Zou and David Knowles) 2007-06-21 13:00: Statistical Models for Partial Membership (Katherine Heller) 2007-06-21 17:15: Report from Apple WWDC07 (Speaker to be confirmed) 2007-06-21 17:15: Linux on the Playstation3 (David Fox, JPY Ltd.) 2007-06-28 15:30: Sensible priors from finite linear models (Ed Snelson and Joaquin Candela) 2007-07-05 11:00: Do artifacts have politics? (Andrea Grimes and Robert Doubleday) 2007-07-05 13:00: Kingman's coalescent, non-parametric Bayesian agglomerative clustering, and ICML 2007 (Yee Whye Teh, Zoubin Ghahramani) 2007-07-09 12:30: Bring your Papers! () 2007-07-16 11:00: Title Language Model (Phil Cowans (University of Cambridge)) 2007-07-23 11:00: Clustering by Passing Messages Between Data Points (Philip Sterne (University of Cambridge)) 2007-07-26 17:15: Scientific Computing in Cambridge meeting (Speaker to be confirmed) 2007-07-30 11:00: Knowledge Compilation (Christian Steinruecken (University of Cambridge)) 2007-08-02 11:00: Design parameters of rating scales for web sites (Luke Church and Per Ola Kristensson) 2007-08-06 11:00: Pre-Gatsby Workshop (Philip Sterne (University of Cambridge)) 2007-08-20 11:00: Contextual dependencies in unsupervised word segmentation (Keith Vertanen (University of Cambridge)) 2007-08-23 17:15: Scientific Computing in Cambridge meeting (Speaker to be confirmed) 2007-08-27 11:00: Kingman's coalescent, non-parametric Bayesian agglomerative clustering (David MacKay (Cavendish Laboratory)) 2007-09-03 11:00: Efficient Bayesian Task-Level Transfer Learning (David Stern (University of Cambridge)) 2007-09-06 11:00: Assessing Dimensions of Perceived Visual Aesthetics of Web Sites (Nathan Crilly and Chris Nash) 2007-09-10 11:00: Combining Causal and Similarity-based reasoning (Christian Steinruecken (University of Cambridge)) 2007-09-17 11:00: Predictive Interaction using the Delphian Desktop (Per Ola Kristensson) 2007-09-20 17:15: Scientific Computing in Cambridge meeting (Speaker to be confirmed) 2007-09-24 11:00: Hierarchical Bayesian inference in networks of spiking neurons (Philip Sterne (University of Cambridge)) 2007-10-04 11:00: Designing for Usability: Key Principles and What Designers Think (Gilbert Cockton and Luke Church) 2007-10-08 11:15: Sensible Priors for Sparse Bayesian Learning (Oliver Stegle (University of Cambridge)) 2007-10-11 14:00: Autonomous Agents under Operational Closure (Pedro Ortega (University of Cambridge)) 2007-10-15 11:15: Fast Visual Tracking By Temporal Consensus (Carl Scheffler (University of Cambridge)) 2007-10-18 17:15: Scientific Computing in Cambridge meeting (Speaker to be confirmed) 2007-10-25 14:00: Sparse Bayesian Linear Models (Marc Deisenroth (University of Cambridge), Miguel Lazaro-Gredilla) 2007-10-29 11:15: Basics of Belief Propagation (Philip Sterne (University of Cambridge)) 2007-11-01 14:00: Variational inference and exponential families (Jurgen Van Gael and Frederik Eaton) 2007-11-05 11:15: Loopy Belief Propagation (Philip Sterne (University of Cambridge)) 2007-11-08 14:00: Transductive and Semi-Supervised Learning (Karsten Borgwardt (University of Cambridge) and Katherine Heller) 2007-11-12 11:15: Variational methods (Inference Group) 2007-11-15 14:00: Bayesian Reinforcement Learning (Speaker to be confirmed) 2007-11-15 17:15: Scientific Computing in Cambridge meeting (Speaker to be confirmed) 2007-11-22 14:00: Hierarchical Dirichlet Processes (Speaker to be confirmed) 2007-11-26 11:15: Reinforcement Learning in continuous state-spaces (Philip Sterne (University of Cambridge)) 2007-12-05 11:00: Angle-Resonant Stimulated Polariton Amplifier (AMOP group - Department of Physics) 2007-12-06 11:00: Getting to Grips with Technology (Mo Syed and Tim Regan) 2007-12-13 17:15: Scientific Computing in Cambridge meeting (Speaker to be confirmed) 2008-01-17 14:00: Bayesian Adaptive Inference and Adaptive Training (Rogier van Dalen and Christian Steinruecken) 2008-01-21 11:15: Semantic Hashing, Deep Autoencoders and Universal Approximators (Philip Sterne (University of Cambridge)) 2008-01-24 14:00: Active Learning (Andreas Vlachos and Sinead Williamson) 2008-01-28 11:15: Sparse Feature Learning for Deep Belief Networks (Philipp Hennig (University of Cambridge)) 2008-01-30 11:00: Magnetic monopoles in spin ice (Eoin O'Farrell) 2008-01-31 14:00: Spectral methods (Ricardo Silva and Arik Azran) 2008-02-04 11:10: Principled Hybrids of Generative and Discriminative Models (Philip Sterne (University of Cambridge)) 2008-02-07 11:00: Computational Thinking (Simon Peyton Jones and Luke Church) 2008-02-07 14:00: Title to be confirmed (Tao Li) 2008-02-08 15:30: Dynamics of a strongly interacting Fermi gas: The radial quadrupole mode (Jonathan Edge, TCM) 2008-02-08 16:00: The Papers of Messrs. Baldereschi, Monkhorst and Pack. (Andrew Morris, TCM) 2008-02-13 11:15: Flux line lattice melting and the formation of a coherent qusiparticle Bloch state in URh2Si2 (Jack Gillett) 2008-02-14 14:00: Probabilistic Matrix Factorization/Deep Belief Nets (Ryan Turner and Phillipp Hennig) 2008-02-18 11:10: Infera - a Bayesian team-ranking program from 1996 (David MacKay, Cavendish Laboratory) 2008-02-21 17:30: Python Tools for software development (Oliver Stegle (University of Cambridge)) 2008-02-22 15:30: Efficient Quantum Monte Carlo Energies for Molecular Dynamics Simulations (John Jumper, TCM) 2008-02-22 16:00: Computational Consequences of Neglected First Order Van der Waals Forces (Robert Lee, TCM) 2008-02-25 11:15: Image superresolution (Shin-Ichi Maeda) 2008-02-27 11:15: Superconductivity in Heavy Alkaline Earth Intercalated Graphite (Mark Dean (University of Cambridge)) 2008-02-28 14:00: The Information Bottleneck / Dynamic Kernals for speaker verification (Zoi Roupakia and Sandy Klemm) 2008-03-03 11:15: Hierarchical Clustering (Christian Steinruecken (University of Cambridge)) 2008-03-06 11:00: Unpacking a Timesheet: Formalisation and Representation (Robin Boast and Alan Blackwell) 2008-03-06 14:00: 'All of Nonparametric Statistics' (Speaker to be confirmed) 2008-03-07 15:30: Many-Body Perturbation Theory: The GW Approximation (David O'Regan, TCM) 2008-03-07 16:00: Quantum phase transitions of light (Alex Silver, TCM) 2008-03-10 11:15: Expectation Propagation on the TrueSkill model (Carl Scheffler (University of Cambridge)) 2008-03-12 11:15: Superconductivity and magnetism: From antagonism to mutual interplay (Cheng Liu) 2008-03-17 11:15: On the Benefits of Confidence Visualization in Speech Recognition (Keith Vertanen and Per Ola Kristensson (University of Cambridge)) 2008-03-17 11:30: Cheap and cheerful neural inference (Philip Sterne (University of Cambridge)) 2008-03-20 17:30: SciComp minitalks (tbc) 2008-04-07 11:15: Expectation Propagation Demonstration (Carl Scheffler (University of Cambridge)) 2008-04-17 17:30: Functional Programming (Various Speakers) 2008-05-01 11:00: What Is Good? – A Comparison Between The Quality Criteria Used In Design And Science (Cecily Morrison) 2008-05-02 16:00: Forces controlling protein interactions: theory and experiment (Albert Bartok-Partay) 2008-05-05 11:15: Tutorial on Monte Carlo methods (David MacKay (University of Cambridge)) 2008-05-12 11:15: Measuring Game Temperature With UCT-Monte Carlo (Philipp Hennig (University of Cambridge)) 2008-05-15 17:30: Provisional: Productivity Applications (tbc) 2008-05-16 11:00: PRL 100 106402 Barath et al. : Quantum and Classical Mode Softening Near the Charge-Density-Wave-Superconductor Transition of CuxTiSe2 (Paul Nahai-Williamson) 2008-05-19 11:15: Object-Attribute Models (Christian Steinruecken (University of Cambridge)) 2008-05-22 14:00: Continuous Time Bayesian Networks (Jurgen Van Gael) 2008-05-23 15:30: Cycling in the wind (Hatem Helal) 2008-05-23 16:00: Two new vortex liquids (Wittaya Kanchanapusakit) 2008-05-26 11:15: Journal Club: The Dynamic Hierarchical Dirichlet Process (Oliver Stegle (University of Cambridge)) 2008-05-29 14:00: Stochastic integration and Ito's lemma (Frederik Eaton (University of Cambridge)) 2008-05-30 15:30: Scramjet Engines: The First Forty Years (Mikhail Kibalchenko) 2008-05-30 16:00: Topology of the conceptual network of language (Graham Spink) 2008-06-02 11:15: Uniform sampling from various sets (Philip Sterne (University of Cambridge)) 2008-06-05 11:00: Evaluating user interface systems research (Per Ola Kristensson) 2008-06-09 11:15: Cutting Cheese (Carl Scheffler (University of Cambridge)) 2008-06-19 17:30: Provisional: Workflow processing (Speakers to be confirmed) 2008-06-26 14:00: Variational Bayesian Mixtures of Gaussians (Milica Gasic) 2008-07-03 11:00: Affective computing: problems, reactions and intentions (Shazia Afzal) 2008-07-03 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-07-10 18:00: Machine Learning book reading club (Speaker to be confirmed) 2008-07-17 17:30: Provisional: Field Programmable Gate Arrays (Speakers to be confirmed) 2008-07-17 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-07-24 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-07-31 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-08-07 11:00: “Resistance is Futile”: Reading Science Fiction Alongside Ubiquitous Computing (Mark Blythe, University of York) 2008-08-07 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-08-14 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-08-21 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-08-28 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-09-03 16:00: Assessing the effects of statistical dependencies on neural population coding in the visual pathway (Jonathan Pillow (Gatsby Computational Neuroscience Unit, UCL)) 2008-09-04 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-09-11 14:00: The War on Loops (Frederik Eaton (CUED)) 2008-09-16 14:00: Computational Neuroscience Journal Club (Computational and Biological Learning Lab, Department of Engineering) 2008-09-18 14:00: Levy Processes (Katherine Heller (CUED Machine Learning)) 2008-09-18 17:30: Development tools for mobile devices (Alexander Griekspoor (mekentosj.com), Alistair de B Clarkson (nCipher)) 2008-09-18 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-09-25 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-09-30 17:00: Computational Neuroscience Journal Club (Dr Máté Lengyel (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2008-10-01 11:15: From calcium imaging to spikes, using sequential Monte Carlo methods (Joshua Vogelstein, Johns Hopkins University) 2008-10-02 11:00: How do we program the home? Gender, attention investment, and the psychology of programming at home. (Steven Clarke and Cecily Morrison) 2008-10-02 14:00: Condition Monitoring (Ryan Turner (University of Cambridge)) 2008-10-02 18:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-10-09 14:00: CANCELLED (Speaker to be confirmed) 2008-10-14 17:00: Computational Neuroscience Journal Club (Dr Mate Lengyel (Cambridge University, UK)) 2008-10-16 14:00: To Naive Bayes or to Logistically Regress: That is the Question (Jurgen Van Gael (University of Cambridge)) 2008-10-16 17:30: Title to be confirmed (Speakers to be confirmed) 2008-10-22 11:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-10-23 14:00: Approximating the Kullback-Leibler Divergence Between GMMs (Rogier van Dalen (University of Cambridge)) 2008-10-24 15:30: Spontaneous knotting of an agitated string (John Biggins, TCM) 2008-10-24 16:00: Particle–Wave Association on a Fluid Interface (Alex Silver ( TCM)) 2008-10-27 11:11: The discovery of structural form (Dr Per Ola Kristensson (University of Cambridge)) 2008-10-28 17:00: Computational Neuroscience Journal Club (Dr Aldo Faisal (University of Cambridge)) 2008-10-29 11:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-10-30 14:00: Knows What It Knows: A Framework For Self-Aware Learning (Pedro Ortega (University of Cambridge)) 2008-11-03 11:00: A Precision-Click Method for Multiple-Choice Problems (Tamara Broderick (University of Cambridge)) 2008-11-05 11:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-11-06 14:30: Point Process Intensity Estimation with GP's (Yunus Saatchi (University of Cambridge)) 2008-11-07 14:00: Riddle posed by computer (6): The Computer Generation of Cryptic Crossword Clues (Robert Lee ( TCM)) 2008-11-07 14:30: The Tether Solution (Jonathan Edge ( TCM)) 2008-11-10 11:00: Spiking Boltzmann Machines (Philip Sterne (University of Cambridge)) 2008-11-11 17:00: Computational Neuroscience Journal Club (Julijana Gjorgjieva (University of Cambridge)) 2008-11-12 11:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-11-13 14:00: Gaussian Process Latent Variable Models (Marc Deisenroth (University of Cambridge)) 2008-11-13 17:30: Title to be confirmed (Speakers to be confirmed) 2008-11-14 16:00: Version Control Software (James Kermode (University of Cambridge)) 2008-11-17 11:00: Value Propagation: A Graphical Model for Bayesian Reinforcement Learning (Philipp Hennig (University of Cambridge)) 2008-11-19 11:30: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-11-20 14:00: Cluster Analysis of Heterogeneous Rank Data (Peter Orbanz (University of Cambridge)) 2008-11-25 17:00: Computational Neuroscience Journal Club (Ian Howard (University of Cambridge)) 2008-11-26 11:30: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-11-27 14:00: Bayesian Reinforcement Learning in Continuous POMDPs (Milica Gasic (University of Cambridge) 2008-12-01 11:00: Journal Club: Mixed Membership Stochastic Blockmodels (Oliver Stegle (University of Cambridge)) 2008-12-03 11:30: Machine Learning Book Reading Club (Speaker to be confirmed) 2008-12-04 14:00: An Introduction to Relational Learning (Ricardo Silva (UCL Statistics)) 2008-12-05 15:30: Nonequilibrium generation of information in copolymerization processes (Jamie Blundell (TCM)) 2008-12-05 16:00: Implications from the ratio of surface tension to bulk modulus and nearest neighbour distance, for planar surfaces (A E Phillips (Cavendish Laboratory, University of Cambridge)) 2008-12-11 13:00: NIPS Offline Conference (Machine Learning Across Cambridge) 2008-12-11 17:30: Provisional: Christmas Quiz (Speakers to be confirmed) 2009-01-13 17:00: Computational Neuroscience Journal Club (Nikon Rasumov (University of Cambridge)) 2009-01-14 09:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2009-01-15 14:00: Probabalistic Inference for solving (PO)MDPs (Finale Doshi (University of Cambridge)) 2009-01-16 15:30: Error of finite basis expansions in time-dependent calculations of atom-laser interaction (David O'Regan (TCM)) 2009-01-16 16:00: How Many Shuffles to Randomize a Deck of Cards? (Richard Brierley (TCM)) 2009-01-21 09:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2009-01-22 14:00: A Hierarchical Bayesian Language Model based on Pitman-Yor Processes (Matt Shannon (University of Cambridge)) 2009-01-27 17:00: Computational Neuroscience Journal Club (Arjun Bharioke, Cambridge University) 2009-01-28 09:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2009-01-29 14:00: Distributed Computing for Machine Learning (Sinead Williamson (University of Cambridge)) 2009-02-02 11:00: Predicting and understanding the stability of G-Quadruplexes (Oliver Stegle) 2009-02-04 09:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2009-02-05 14:00: Divergence measures and message passing - CANCELLED (David Knowles (University of Cambridge)) 2009-02-06 15:30: Optimization of ionic conductivity in doped ceria (Nick Bristowe (TCM)) 2009-02-06 16:00: Constrained Geometric Simulation of Diffusive Motion in Proteins (William Belfield (TCM)) 2009-02-10 17:00: Computational Neuroscience Journal Club (Philip Sterne (University of Cambridge)) 2009-02-12 14:00: Hybrid of Generative and Discriminative Models (Simon Lacoste-Julien (University of Cambridge)) 2009-02-18 09:00: Machine Learning Book Club (Speaker to be confirmed) 2009-02-19 14:00: Large Margin Training of Hidden Markov Models (Anton Ragni) 2009-02-24 10:00: Mind reading by machine learning: an ideal observer based analysis of cognitive scientific experiments (Ferenc Huszar (Budapest University of Technology and Economics & Collegium Budapest)) 2009-02-24 17:00: Computational Neuroscience Journal Club (Jurgen Van Gael (University of Cambridge)) 2009-02-25 09:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2009-02-26 14:00: Hybrids of Generative and Discriminative Models (Cont) (Simon Lacoste-Julien (University of Cambridge)) 2009-03-04 09:00: Machine Learning Book Club (Speaker to be confirmed) 2009-03-05 14:00: The Convex Concave Procedure (Frederik Eaton (University of Cambridge)) 2009-03-10 17:00: Computational Neuroscience Journal Club (Professor Daniel Wolpert ( Department of Engineering)) 2009-03-11 09:00: Machine Learning Book Club (Speaker to be confirmed) 2009-03-12 14:00: Bregman Divergences and Machine Learning (Shakir Mohamed (University of Cambridge)) 2009-03-17 17:00: Computational Neuroscience Journal Club (Peter Latham, Gatsby, UCL) 2009-03-18 09:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2009-03-24 17:00: Computational Neuroscience Journal Club (Petra Vertes (University of Cambridge)) 2009-03-25 09:00: Machine Learning Book Reading Club (Speaker to be confirmed) 2009-03-25 17:00: Coding with envelopes, receptive fields and plasticity (André Longtin, University of Ottawa) 2009-04-01 09:00: Machine Learning Book Club (Speaker to be confirmed) 2009-04-08 09:00: Machine Learning Book Club (Speaker to be confirmed) 2009-04-21 17:00: Computational Neuroscience Journal Club (Rainer Engelken (University of Cambridge)) 2009-04-23 14:00: Hilbert space embedding of probability distributions (Ferenc Huszar (Budapest University of Technology and Economics)) 2009-04-29 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-04-30 14:00: Parsing Images the UCLA Way (Tom Stepleton (CMU)) 2009-05-05 17:00: Computational Neuroscience Journal Club (Daniel Braun (University of Cambridge)) 2009-05-06 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-05-07 14:00: The IBM approach to speech separation (Mikkel N. Schmidt (Technical University of Denmark / Cambridge)) 2009-05-13 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-05-14 14:00: Divergence measures and message passing (David Knowles (University of Cambridge)) 2009-05-18 15:00: Optimal Bayesian Reinforcement Learning on Trees (Philipp Hennig (University of Cambridge)) 2009-05-19 17:00: Computational Neuroscience Journal Club (Edward Turnham (University of Cambridge)) 2009-05-20 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-05-21 14:00: Technical Writing (Finale Doshi (University of Cambridge)) 2009-05-22 16:00: Local density of states of electron-crystal phases in graphene in the quantum Hall regime (Oleksandr Poplavskyy (University of Cambridge)) 2009-05-27 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-05-29 15:30: Pressures produced when penguins pooh (Priyanka Seth (TCM)) 2009-05-29 16:00: How to quantify energy landscapes of solids (Gareth Griffiths (TCM)) 2009-06-02 17:00: Computational Neuroscience Journal Club (Arne Nagengast (University of Cambridge)) 2009-06-03 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-06-09 16:00: Is the homunculus `aware' of sensory adaptation? (Peggy Seriès (The University of Edinburgh)) 2009-06-10 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-06-11 14:00: Slice Sampling (Yue Wu (University of Cambridge)) 2009-06-16 17:00: Computational Neuroscience Journal Club (Gergo Orban (University of Cambridge)) 2009-06-17 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-06-18 15:00: Message Passing (Jurgen Van Gael (University of Cambridge)) 2009-06-24 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-07-01 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-07-02 14:00: Hessian-based Markov-Chain Monte Carlo Algorithms (Tom Minka (Microsoft Research Ltd)) 2009-07-08 12:45: Machine Learning Book Club (Speaker to be confirmed) 2009-07-15 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-07-22 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-07-29 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-08-05 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-08-12 13:00: Machine Learning Book Club (Speaker to be confirmed) 2009-08-19 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-08-21 11:30: Correlation, Causation, Model Comparison and Interventions (Philipp Hennig (University of Cambridge)) 2009-08-26 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-08-28 11:00: Bursty and Hierarchical Structure in Streams. (Philip Sterne (University of Cambridge)) 2009-09-11 11:00: Single Image Haze Removal using Dark Channel Prior (Emli-Mari Nel (University of Cambridge)) 2009-09-16 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-09-18 11:00: Speed dependent automatic zooming for browsing large documents (Alison Ming (University of Cambridge)) 2009-09-21 11:00: Capacity of Spiking Neural Networks (Philip Sterne (University of Cambridge)) 2009-09-22 16:00: Computational Neuroscience Journal Club (Dr Jean-Pascal Pfister (Cambridge University, UK)) 2009-09-23 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-09-25 11:00: COGAIN'09 proceedings (Alan Lawrence (University of Cambridge)) 2009-09-29 16:00: Reduced cortical neuron models: Experiment and theory (Magnus Richardson, Warwick University) 2009-10-01 14:00: Technical Writing II (Ryan Turner (University of Cambridge)) 2009-10-02 11:15: The Mondrian Process (Christian Steinruecken (University of Cambridge)) 2009-10-06 16:00: Computational Neuroscience Journal Club (James Ingram (University of Cambridge)) 2009-10-08 14:00: Structured prediction using energy-based models (Simon Lacoste-Julien (University of Cambridge)) 2009-10-14 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-10-15 14:00: Ensemble Methods in Machine Learning (Alex Ksikes (University of Cambridge)) 2009-10-16 11:15: Journal club: Measurement integration under inconsistency for robust tracking (Carl Scheffler (University of Cambridge)) 2009-10-20 16:00: Computational Neuroscience Journal Club (Dr Jean-Pascal Pfister (Cambridge University, UK)) 2009-10-21 11:00: Machine Learning Book Club (Speaker to be confirmed) 2009-10-22 14:00: High-dimensional variable selection via sure independence screening (Richard Samworth (University of Cambridge)) 2009-10-23 11:00: Distilling Free-Form Natural Laws from Experimental Data (Dr Per Ola Kristensson (University of Cambridge)) 2009-10-23 15:30: Journal Club Talk | The Particle Swarm - Explosion, Stability, and Convergence (Anthony Leung (University of Cambridge)) 2009-10-23 16:00: 'Luttinger liquid theory' of one-dimensional quantum fluids. I. Properties of the Luttinger model and their extension to the general 1D interacting spinless Fermi gas (Richard Brierley (University of Cambridge)) 2009-10-27 16:00: On the Games Neurons Play (in Visual Cortex) (Steven Zucker) 2009-10-29 14:00: Speed Reviewing (All Participants) 2009-10-30 11:00: Bayesian integration in sensorimotor learning (Keith Vertanen (University of Cambridge)) 2009-11-02 16:30: “Modeling synaptic plasticity across multiple time scales”. (Wulfram Gerstner EPFL.) 2009-11-03 16:00: Computational Neuroscience Journal Club (Philip Sterne (University of Cambridge)) 2009-11-05 14:00: Filtering of Noisy Time-Series Data (Henrik Ohlsson, Marc Deisenroth, Hugo Vincent) 2009-11-06 15:30: Normal State of Highly Polarized Fermi Gases: Full Many-Body Treatment (Kayvan Sadegzadeh) 2009-11-06 16:00: Reptation Quantum Monte Carlo (Bohshiang Jong (TCM)) 2009-11-08 14:00: Machine Learning RCC - Bayesian Agglomerative Clustering with Coalescents, Teh, Daumé and Roy, NIPS 2007 (Sinead Williamson) 2009-11-09 11:00: Oscillations, Phase-of-firing Coding and STDP: An Efficient Learning Scheme (Journal club) (Philip Sterne (University of Cambridge)) 2009-11-12 14:00: Bayesian Agglomerative Clustering with Coalescents (Sinead Williamson (University of Cambridge)) 2009-11-17 16:00: Computational Neuroscience Journal Club (David Franklin (University of Cambridge)) 2009-11-20 11:15: The Infinite Gaussian Mixture Model (Philipp Hennig (University of Cambridge)) 2009-11-26 14:00: Learning rates in Bayesian nonparametrics (Aad van der Vaart (Vrije Universiteit Amsterdam)) 2009-11-27 11:15: Journal Club: Visualizing Data using t-SNE (Emli-Mari Nel (University of Cambridge)) 2009-12-01 16:00: Computational Neuroscience Journal Club (Ian Howard (University of Cambridge)) 2009-12-03 14:00: Unbounded-depth hierarchical Pitman-Yor processes (Rogier van Dalen (University of Cambridge)) 2010-01-11 16:00: Computational Neuroscience Journal Club (Hugo Vincent (University of Cambridge)) 2010-01-14 14:00: RCC Planning Meeting (All) 2010-01-21 14:00: (Canceled) A Causal Calculus for Statistical Research (Pedro Ortega (University of Cambridge)) 2010-01-26 16:00: Computational Neuroscience Journal Club (Daniel Braun (University of Cambridge)) 2010-01-28 14:00: The Fractional Belief Propagation menace (Frederik Eaton) 2010-02-04 14:00: Variational inference in graphical models: The view from the marginal polytope (David Knowles and Richard Turner (University of Cambridge)) 2010-02-09 16:00: Computational Neuroscience Journal Club (Edward Turnham (University of Cambridge)) 2010-02-11 14:00: Semi supervised learning (Sinead Williamson and Ferenc Huszar (University of Cambridge)) 2010-02-12 15:30: Gating Transition of Pentameric Ligand-Gated Ion Channels (william belfield (University of Cambridge)) 2010-02-12 16:00: Yang Lee Circle Theorem (Gen Zhang (University of Cambridge)) 2010-02-18 14:00: Title to be confirmed (Pedro Ortega and Dan Braun) 2010-02-23 16:00: Computational Neuroscience Journal Club (Richard Turner (University of Cambridge)) 2010-02-25 14:00: Cancelled (Speaker to be confirmed) 2010-02-26 15:30: Evolutionary crystal structure prediction as a tool in materials design (Gareth Griffiths (University of Cambridge)) 2010-02-26 16:00: Oxygen-vacancy-induced charge carrier in n-type interface of LaAlO3 overlayer on SrTiO3 (001): interface vs bulk doping carrier (Nick Bristowe (TCM)) 2010-03-04 14:00: Cancelled (Speaker to be confirmed) 2010-03-09 16:00: Computational Neuroscience Journal Club (Neil Housby (Cambridge University)) 2010-03-11 14:00: Title to be confirmed (Eric Xing) 2010-03-18 14:00: Sparsification for Gaussian Processes for Regression (Milica Gasic and Anton Ragni) 2010-04-20 16:00: Computational Neuroscience Journal Club (Dr Jean-Pascal Pfister (Cambridge University, UK)) 2010-04-22 14:00: Bundle methods and its application in machine learning (Eric(Yongqiang) Wang and Rory Waite) 2010-04-29 14:00: Numerical Linear Algebra (Peter Orbanz and John Cunningham (University of Cambridge)) 2010-05-04 16:00: Computational Neuroscience Journal Club (Professor Daniel Wolpert ( Department of Engineering)) 2010-05-05 16:30: Mapping affective decisions in depression using reinforcement learning tools (Quentin Huys (Gatsby Computational Neuroscience Unit, UCL)) 2010-05-06 14:00: Information Retrieval (Jurgen Van Gael and Ed Snelson) 2010-05-07 15:30: Are Hartree–Fock atoms too small or too large? (Priyanka Seth (TCM)) 2010-05-07 16:00: Analysis of atomic orbital basis sets from the projection of plane-wave results (Louis Lee (University of Cambridge)) 2010-05-13 14:00: Title to be confirmed (Yunus Saatchi and Andrew Wilson) 2010-05-18 16:00: Computational Neuroscience Journal Club (Dr. Gergo Orban (University of Cambridge)) 2010-05-20 14:00: Topics in Statistical Machine Translation (Matt Shannon and Sebastien Bratieres) 2010-05-24 10:30: From tuning curves to behaviour (Mandana Ahmadi (Gatsby Computational Neuroscience Unit, UCL)) 2010-05-24 12:30: Learning predictive models for visual motion extrapolation (Paul Schrater (Depts Psychology & Computer Science, University of Minnesota)) 2010-05-27 14:00: Redirected to Rob Nowak, LR12 (Speaker to be confirmed) 2010-05-28 15:30: Half Vortices in Exciton Polariton Condensates (Marianne Bauer (TCM)) 2010-05-28 16:00: Potential Energy Surfaces Fitted by Artificial Neural Networks (Wojciech Szlachta (TCM)) 2010-06-03 14:00: Conditional Random Fields : Theory and Application (Matt Seigel (University of Cambridge)) 2010-06-10 14:00: Structured Learning and Structural SVMs (S-X. Austin Zhang and Juan Pino) 2010-06-11 15:30: Toward a quantitative approach to migrants integration (Felix Nissen (Cavendish Lab (TCM) / Churchill College)) 2010-06-11 16:00: A new mixing of Hartree-Fock and local density-functional theories (Gihan Weerasinghe (TCM)) 2010-09-09 13:15: Translational biomedical informatics research in a clinical neurosurgery environment (Xiao Hu, University of California, Los Angeles) 2010-09-21 16:00: Optimality among optimals: decision making from neurobiological ‘noisy’ signals within the cortico-basal-ganglia system (Javier A. Caballero, Adaptive Behaviour Research Group, Department of Psychology, The University of Sheffield) 2010-10-05 16:00: Computational Neuroscience Journal Club (Cristina Savin (Computational and Biological Learning Lab, Department of Engineering, University of Cambridge)) 2010-10-07 14:00: Unsupervised Grammar Induction (Juan Pino (University of Cambridge)) 2010-10-14 14:00: Advanced Scientific Programming in Python (Carl Scheffler (University of Cambridge)) 2010-10-15 16:30: How the brain makes decisions (Professor Edmund Rolls, Oxford Centre for Computational Neuroscience (www.oxcns.org)) 2010-10-19 16:00: Parallel dendritic processing and hippocampal spatial representations (Balazs Ujfalussy, Dept. Biophysics, KFKI RIPNP, Hungarian Academy of Sciences) 2010-10-21 14:00: Herding or a '3rd way to learn' (Simon Lacoste-Julien and Ferenc Huszar) 2010-10-28 14:00: Cancelled: No RCC (Speaker to be confirmed) 2010-11-04 14:00: An Introduction to Bayesian Statistics (Sonia Petrone (Università Bocconi)) 2010-11-05 15:30: Quantum Critical Scaling of the Geometric Tensors (Gen Zhang (University of Cambridge)) 2010-11-05 16:00: Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion (Marianne Bauer (TCM)) 2010-11-11 14:00: Convex Optimisation (Dave Knowles and David Duvenaud) 2010-11-16 16:00: Computational neuroscience journal club (Neil Houlsby) 2010-11-18 14:00: Poisson Processes (Andrew Wilson and Yue Wu) 2010-11-19 15:30: On the Equations of Motion of Crystal Dislocations (Wojciech Szlachta (TCM)) 2010-11-19 16:00: Time-reversal-symmetry breaking in circuit-QED-based photon lattices (Felix Nissen (Cavendish Lab (TCM) / Churchill College)) 2010-11-22 11:00: Machine Leaning Journal Club (Philipp Hennig (University of Cambridge), Emli-Mari Nel (University of Cambridge)) 2010-11-25 14:00: NIPS Highlight Session (Speaker to be confirmed) 2010-11-30 16:00: Computational Neuroscience Journal Club (Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2010-12-02 14:00: Submodularity for Machine Learning (Ed Snelson and Rich Turner) 2010-12-14 16:00: Computational Neuroscience Journal Club (Laurence Aitchison (University of Cambridge)) 2011-01-18 16:00: Computational Neuroscience Journal Club (Edward Turnham (University of Cambridge)) 2011-01-20 14:00: Completely Random Measures (Sinead Williamson (University of Cambridge)) 2011-01-27 14:00: Infinite multiple relational models for complex networks (Mikkel N. Schmidt (Technical University of Denmark / Cambridge)) 2011-02-01 16:00: Computational Neuroscience Journal Club (John Patrick Cunningham (University of Cambridge)) 2011-02-03 14:00: Machine Learning techniques in computer vision applications (Peter Chan (University of Cambridge)) 2011-02-10 14:00: Kernel Methods (Yunus Saatchi (University of Cambridge), Ryan Turner (University of Cambridge)) 2011-02-11 13:00: Conserved principles of movement generation (Mark Churchland, Stanford University) 2011-02-15 16:00: Computational Neuroscience Journal Club (Jakob Foerster) 2011-02-17 14:00: Optimal weighted nearest neighbour classifiers (Dr Richard Samworth) 2011-02-18 15:30: Natural Population Analysis (Louis Lee (University of Cambridge)) 2011-02-18 16:00: The Deep Blue chess algorithm (Pascal Bugnion) 2011-02-24 14:00: Post-NIPS Highlight session (MLG Members) 2011-03-03 14:00: The effect of normalization -- a case study in speech synthesis (Matt Shannon (University of Cambridge)) 2011-03-04 15:30: Experimental Quantum Teleportation (Gihan Weerasinghe (TCM)) 2011-03-04 16:00: A Quantitative, Theoretical Framework for Understanding Mammalian Sleep (Wave Ngampruetikorn) 2011-03-10 14:30: Deep Belief Networks for Phone Recongition (Rory Waite and Matt Seigel (University of Cambridge)) 2011-03-17 14:00: Exchangeability (Peter Orbanz (University of Cambridge)) 2011-03-22 16:00: Computational Neuroscience Journal Club (Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2011-04-05 16:00: Computational Neuroscience Journal Club (Armin Lak (University of Cambridge)) 2011-05-04 13:00: Navigational guidance systems in the human brain (Hugo Spiers, UCL Institute of Behavioural Neuroscience) 2011-05-10 16:00: Computational Neuroscience Journal Club (Mate Lengyel (Engineering Department)) 2011-05-12 14:00: Expectation Propagation for POMDP Spoken Dialogue Models (Blaise Thomson, Dialogue Systems Group, University of Cambridge) 2011-05-19 14:00: On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation (DR. Tom Minka (Microsoft Research Cambridge)) 2011-05-24 16:00: Computational Neuroscience Journal Club (Dr.Gergo Orban (University of Cambridge)) 2011-05-26 14:00: Connections between Gaussian Process Regression, Kalman filtering and RTS Smoothing (Simo Särkkä, Department of Biomedical Engineering and Computational Science Aalto University, Finland) 2011-06-07 16:00: Computational Neuroscience Journal Club (Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2011-06-21 11:30: Organization of neuronal population activity in auditory cortex. (Kenneth D Harris, Imperial College London) 2011-09-13 16:00: Computational Neuroscience Journal Club ( Balázs Ujfalussy, CBL) 2011-09-26 16:00: Reconciling intuitive and Newtonian physics (Adam Sanborn (University of Warwick)) 2011-09-27 16:00: Computational Neuroscience Journal Club (DJ Strouse (University of Cambridge)) 2011-10-11 16:00: Computational Neuroscience Journal Club (Dr. Gergo Orban (University of Cambridge)) 2011-10-20 14:00: Hyper and structural Markov laws for graphical models (Simon Byrne (Statistical Laboratory, University of Cambridge)) 2011-10-25 16:00: Computational Neuroscience Journal Club (Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2011-10-27 14:00: Proper local scoring rules (Prof. Philip Dawid (Statistical Laboratory)) 2011-10-28 16:00: Computational enzymology (Greg Lever (Cavendish Lab. (TCM) & Magdalene College)) 2011-11-10 14:00: Approximate Inference in Gaussian Process Models (Speaker to be confirmed) 2011-11-15 16:00: Computational Neuroscience Journal Club (Balazs B Ujfalussy (University of Cambridge)) 2011-11-18 15:30: A review of structure-searching methods (Matthew Lyle (University of Cambridge)) 2011-11-18 16:00: Theoretical Biology: Comprehending the Noisy Edge of Travelling Waves (Sam Greenbury, TCM) 2011-11-24 16:00: Modeling a non-linear EPSPs integration site in dendrites and its impact on computational capacities (Romain Cazé, Group for Neural Theory, Ecole Normal Superieure, Paris) 2011-11-29 16:00: Computational Neuroscience Journal Club (DJ Strouse (University of Cambridge)) 2012-01-10 16:00: Computational Neuroscience Journal Club (Emil Hewage) 2012-01-19 14:00: Ensemble Methods in Machine Learning (Dr José Miguel Hernández Lobato (University of Cambridge)) 2012-01-24 16:00: Computational Neuroscience Journal Club (Dr. Gergo Orban (University of Cambridge)) 2012-01-26 15:00: Information bottleneck (Dr. Richard Turner, DJ Strouse) 2012-02-07 16:00: Computational Neuroscience Journal Club (Dr. Cristina Savin (Computational and Biological Learning Lab, Department of Engineering, Unive)) 2012-02-17 15:30: Power-law distributions for the areas of the basins of attraction on a potential energy landscape (Robert Baldock (University of Cambridge)) 2012-02-17 16:00: Repulsive polarons in 2D Fermi gases (Wave Ngampruetikorn (University of Cambridge)) 2012-02-21 16:00: Computational Neuroscience Journal Club (Balazs B Ujfalussy (University of Cambridge)) 2012-03-06 16:00: Computational Neuroscience Journal Club (Diana Burk) 2012-03-08 14:00: "Symmetry and sufficiency" (Peter Orbanz (University of Cambridge)) 2012-03-09 14:30: Energy levels and wave functions of Bloch electrons in rational and irrational magnetic fields (Pascal Bugnion (TCM, Physics, Cambridge)) 2012-03-09 15:00: Synthetic magnetic fields for ultracold neutral atoms (Hannah Price (University of Cambridge)) 2012-03-15 14:00: Extended ensemble Monte Carlo (Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2012-03-20 16:00: Computational Neuroscience Journal Club (Johannes Hjorth, Department of Applied Mathematics and Theoretical Physics) 2012-03-22 14:00: Structural Learning of Dynamic Bayesian Networks (Matt Henderson (University of Cambridge)) 2012-03-29 14:00: Topic Modelling (Dr Tomoharu Iwata (NTT)) 2012-04-12 14:00: Active Learning (Ferenc Huszar (Budapest University of Technology and Economics)) 2012-04-17 16:00: Computational Neuroscience Journal Club (Emil Hewage (CBL, University of Cambridge)) 2012-04-19 14:00: Title to be confirmed (Rogier van Dalen (University of Cambridge)) 2012-04-19 14:00: Weighted Finite-state Automata (Rogier van Dalen, Engineering Dept, Cambridge University) 2012-04-24 15:00: Rational learning may be minimalist (Paul R. Schrater) 2012-04-25 11:00: A Predictive Study of Bayesian Nonparametric Regression Models (Sara Wade, Bocconi University) 2012-04-26 14:00: Financial Problems tractable to Machine Learning Methods (yue wu (University of Cambridge)) 2012-04-30 16:30: Near-optimal integration of evidence for decision-making in the rat. (Prof. Carlos Brody. Neuroscience Institute & Department of Molecular Biology, Princeton University) 2012-05-01 13:00: "Probing sensory representations with metameric stimuli" (Eero Simoncelli, New York University) 2012-05-02 10:00: Optimal encoding and decoding in sensory populations (Eero Simoncelli (New York University, HHMI)) 2012-05-03 11:30: Visuomotor behavior in naturalistic tasks: from receptive fields to value functions (Constantin Rothkopf, Frankfurt Institute for Advanced Studies) 2012-05-03 14:00: "Structured sparsity and convex optimization" (Francis Bach) 2012-05-08 16:00: Computational Neuroscience Journal Club (DJ Strouse (University of Cambridge)) 2012-05-10 14:00: Title to be confirmed (Andrew Gordon Wilson) 2012-05-10 14:00: Dirichlet Process Mixture Models and Bayesian Nonparametric Density Estimation (Andrew Gordon Wilson ()) 2012-05-17 14:00: A rough guide to the Aldous-Hoover representation theorem for exchangeable arrays (Dr Daniel Roy (University of Cambridge)) 2012-05-22 16:00: Computational Neuroscience Journal Club (Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2012-05-24 14:00: Poisson Processes: Applications in Machine Learning (Amar Shah (University of Cambridge)) 2012-05-31 14:00: On Data (In-)Dependent Hashing (Novi Quadrianto (University of Cambridge)) 2012-06-12 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2012-06-20 11:30: GP-BUCB for Spinal Cord Injury Therapy: Batch Active Learning with Applications (Thomas Desautels (California Institute of Technology)) 2012-06-21 11:00: Dependent normalized random measures (Changyou Chen (College of Engineering and Computer Science, the Australian National University)) 2012-06-26 16:00: Computational Neuroscience Journal Club (Balazs B Ujfalussy (University of Cambridge)) 2012-09-05 10:30: Perceiving is Believing: Bayesian inference in unexpected places. (Maneesh Sahani, Gatsby, UCL) 2012-10-11 14:30: Model selection in a large compositional space (Roger Grosse (MIT)) 2012-10-16 16:00: Computational Neuroscience Journal Club (Emil Hewage (CBL, University of Cambridge)) 2012-10-18 14:30: Completely Random Measures in Bayesian Nonparametrics (Dr Daniel Roy (University of Cambridge), Creighton Heaukulani) 2012-10-25 16:00: Space, sleep, brain rhythms and memory (Dr Mayank Mehta. UCLA.) 2012-10-30 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2012-11-06 16:00: Coding with Dendrites (Panayiota Poirazi) 2012-11-08 13:30: Distributional compositional models of semantics (Stephen Clark (Computer Laboratory)) 2012-11-13 16:00: Computational Neuroscience Journal Club (Dr. Gergo Orban (University of Cambridge)) 2012-11-15 14:30: Modern Neural Networks: the Hinton Camp (Richard Turner, Mark van der Wilk) 2012-11-22 14:30: Spectral Clustering (Mr Roger Grosse (MIT); Alex Matthews) 2012-11-29 14:30: Bayesian and Gradient Reinforcement Learning (Yanyue (University of Cambridge); Emil Hewage (CBL, University of Cambridge); ) 2012-12-06 14:30: NIPS Recap (Speaker to be confirmed) 2012-12-11 16:00: Computational Neuroscience Journal Club (Luigi Acerbi) 2012-12-17 16:00: Energy Efficiency in Buildings (Milan Vrucinic) 2013-01-17 14:00: Computational Neuroscience Course (4G3) (Mate Lengyel (Computational and Biological Learning Lab, Department of Engineering, University of Cambridge)) 2013-01-17 14:30: NIPS Recap (Speaker to be confirmed) 2013-01-22 16:00: Computational Neuroscience Journal Club (Yan Wu (University of Cambridge)) 2013-01-24 15:00: Advanced Sampling (Christian Steinruecken (University of Cambridge); Dr Tomoharu Iwata (NTT)) 2013-01-31 15:00: Discrete Optimization (Colorado Reed (University of Cambridge)) 2013-02-05 16:00: Computational Neuroscience Journal Club (Sina Tootoonian, CBL, Engineering, U. Cambridge) 2013-02-07 15:00: RCC Planning (Colorado Reed (University of Cambridge)) 2013-02-19 16:00: Computational Neuroscience Journal Club (Jonathan O'Keeffe ) 2013-02-21 15:00: Conditional Density Estimation (Sara Wade ( Bocconi University)) 2013-02-28 15:00: Fragmentation Coagulation (Hong Ge (University of Cambridge)) 2013-03-07 15:00: Machine Learning in Speech Recognition (Speaker to be confirmed) 2013-03-12 16:00: Computational Neuroscience Journal Club (Guillaume Hennequin (University of Cambridge)) 2013-03-14 15:00: Probabilistic Programming (James Lloyd (University of Cambridge)) 2013-03-18 14:30: University Lectureship in Computational Neuroscience candidate talks (Claudia Clopath (Columbia), Yan Karklin (NYU), Jakob Macke (MPI Tuebingen), Kanaka Rajan (Princeton), Henning Sprekeler (Humboldt)) 2013-03-21 15:00: Bayesian Reinforcement Learning (Rowan McAllister & Karolina Dziugaite) 2013-03-28 15:00: An Introduction to Sum Product Networks (José Miguel Hernández Lobato (University of Cambridge)) 2013-04-02 16:00: Computational Neuroscience Journal Club (Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge)) 2013-04-11 15:00: Reproducing Kernel Hilbert Spaces in Non-parametric Statistics (Bharath Sriperumbudur (University of Cambridge)) 2013-04-16 16:00: Computational Neuroscience Journal Club (Balazs B Ujfalussy (University of Cambridge)) 2013-04-18 15:00: Sparsity: Beyond L1 (Amar Shah (University of Cambridge)) 2013-04-24 12:00: Demixing scents: Sampling-based inference in olfaction. (Agnieszka Grabska Barwinska, The Gatsby Unit, UCL) 2013-04-24 15:00: Is the brain in a critical state? (Peter Latham ( Gatsby, UCL)) 2013-04-30 16:00: Computational Neuroscience Journal Club (Emil Hewage (CBL, University of Cambridge)) 2013-05-14 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2013-05-16 10:00: Dendritic computation in pyramidal neurons. (Tiago Branco (MRC Laboratory for Molecular Biology)) 2013-05-16 15:00: Bayesian Nonparametrics in Real-World Applications: Statistical Machine Translation and Language Modelling on Big Datasets (Yarin Gal (University of Cambridge)) 2013-05-23 15:00: Adaptive Hamiltonian-based MCMC samplers (Shakir Mohamed ) 2013-05-24 09:30: Optimal compensation for neuron death (David Barrett (ENS Paris)) 2013-05-28 16:00: Computational Neuroscience Journal Club (Johannes Friedrich, CBL, Cambridge University, Engineering Dept.) 2013-06-06 15:00: Modelling Nonlinear Dynamical Systems (Yue Wu (University of Cambridge) and Andrew McHutchon (University of Cambridge)) 2013-06-25 16:00: Computational Neuroscience Journal Club (Neil Houlsby , CBL) 2013-07-04 15:00: Random Forests: One tool for all your problems. (Novi Quadrianto (University of Cambridge); Neil Houlsby (University of Cambridge)) 2013-09-17 16:00: Computational Neuroscience Journal Club (Sina Tootoonian (University of Cambridge)) 2013-10-08 16:00: Computational Neuroscience Journal Club (Guillaume Hennequin (University of Cambridge)) 2013-10-22 16:00: What the Rat's Whiskers Tell the Rat's Brain (Dr Rasmus Petersen, Faculty of Life Sciences, University of Manchester) 2013-10-24 15:00: Bayesian and Bandit Optimization (Dr. Matthew Hoffman (University of Cambridge)) 2013-10-28 11:00: A talk of two distinct parts: 1) a parametric empirical Bayesian approach to integration of fMRI, EEG and MEG data, 2) prediction error in episodic memory encoding (Rik Henson ( MRC Cognition and Brain Sciences Unit)) 2013-10-31 15:00: Herding: Driving Deterministic Dynamics To Learn And Sample Probabilistic Models (Yutian Chen (University of California at Irvine)) 2013-11-05 16:00: Computational Neuroscience Journal Club (Yan Wu (University of Cambridge)) 2013-11-07 15:00: Random Projections (David Lopez-Paz, David Duvenaud) 2013-11-08 11:15: Neuronal processing of continuous sensory streams (Robert Gütig, Max Planck Institute for Experimental Medicine, Göttingen, Germany) 2013-11-12 16:00: Learning sensory and spatial representations from interacting excitatory and inhibitory synaptic plasticity (Henning Sprekeler (University of Cambridge)) 2013-11-14 15:00: Spectral Learning ( Maxim Rabinovich, Aman Sinha) 2013-11-19 16:00: Computational Neuroscience Journal Club (Ronald van den Berg, University of Cambridge) 2013-11-28 15:00: Integrated Nested Laplace Approximation (INLA) (Sara Wade (University of Cambridge)) 2013-12-03 16:00: Computational Neuroscience Journal Club (Balazs B Ujfalussy (University of Cambridge)) 2014-01-16 15:00: Information Theory and Method of Types: Channels, Quantizers, and Divergences (Antonio Artés-Rodríguez (University of Cambridge), Yingzhen Li) 2014-01-17 11:00: Computational Neuroscience Course (4G3) (Mate Lengyel (Computational and Biological Learning Lab, Department of Engineering, University of Cambridge)) 2014-01-23 15:00: Probabilistic Data Structures and Algorithms (Christian Steinruecken (University of Cambridge), Alexandre Khae Wu Navarro (University of Cambridge)) 2014-01-28 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2014-02-06 15:00: An introduction to Sequential Monte Carlo (Thang Bui (University of Cambridge), Jes Frellsen) 2014-02-11 16:00: Computational Neuroscience Journal Club (Johannes Friedrich ( CBL, Cambridge University, Engineering Dept.)) 2014-02-25 16:00: Computational Neuroscience Journal Club (Ronald van den Berg, University of Cambridge) 2014-03-25 16:00: Computational Neuroscience Journal Club (Guillaume Hennequin (University of Cambridge)) 2014-04-03 15:00: Loopy belief propagation (Alexander Matthews (University of Cambridge), Yingzhen Li) 2014-04-08 16:00: Computational Neuroscience Journal Club (Sina Tootoonian ( CBL, Engineering, U. Cambridge)) 2014-04-10 15:00: Neural Network Language Modelling (Chunyang Wu (University of Cambridge)) 2014-04-24 15:00: The Bernoulli Factory problem and some connections with Computable Analysis (Dr Daniel Roy (University of Cambridge)) 2014-05-01 15:00: Functional Programming (Christian Steinruecken (University of Cambridge)) 2014-05-06 16:00: Computational Neuroscience Journal Club (Yan Wu (University of Cambridge)) 2014-05-15 15:00: Statistical model criticism (James Lloyd (University of Cambridge)) 2014-05-20 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2014-05-22 10:30: Adaptation, coding and Bayesian computations in single neurons and neural populations (Alessandro Ticchi, Imperial College London) 2014-05-22 15:00: Advanced Gaussian Process approximation methods (Dr. Richard Turner, Thang Bui) 2014-05-29 15:00: ​​Time-varying dynamic Bayesian network reconstruction with information sharing​ (Frank Dondelinger ) 2014-06-03 16:00: Computational Neuroscience Journal Club (Dr. David Barrett (University of Cambridge)) 2014-06-12 15:00: Unsupervised Representation Learning (Amar Shah (University of Cambridge)) 2014-06-17 16:00: Computational Neuroscience Journal Club (Johannes Friedrich ( CBL, Cambridge University, Engineering Dept.)) 2014-07-01 16:00: Nervous system variability and robustness from cellular feedback control (Tim O'Leary, Brandeis University) 2014-09-16 10:00: A Study of Certain Models of Synaptic Plasticity in the Cerebellum and Neocortex (David Higgins (Ecole Normale Superieure, Paris)) 2014-10-07 16:00: Computational Neuroscience Journal Club (Guillaume Hennequin (University of Cambridge)) 2014-10-14 09:30: Sensory processing in neocortical networks: randomness, specificity and learning (Sadra Sadeh, Imperial College, London, UK) 2014-10-21 16:00: Computational Neuroscience Journal Club (Yan Wu (University of Cambridge)) 2014-10-30 15:00: Kernel Embedding for Distributions (Mark van der Wilk; Felipe Tobar) 2014-11-04 16:00: Computational Neuroscience Journal Club (Dr. David Barrett (University of Cambridge)) 2014-11-06 15:00: State Space Abstraction for Reinforcement Learning (Rowan McAllister; Thang Bui) 2014-11-10 10:30: Chaos and entropy production in spiking networks (Rainer Engelken) 2014-11-13 15:00: Automatic Differentiation with Theano (Yarin Gal; Christof Angermueller) 2014-11-18 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2014-11-20 15:00: LSTM and Recurrent Neural Networks (Shixiang Gu; Andrey Malinin) 2014-11-27 15:00: PAC Bayes (Alex Matthews; Nikola Mrksic) 2014-12-02 16:00: Computational Neuroscience Journal Club (Johannes Friedrich ( CBL, Cambridge University, Engineering Dept.)) 2014-12-04 15:00: Deep Probabilistic Models (Wake/Sleep) (Yan Wu; David Barrett) 2015-01-15 15:00: Active Learning (Adrian Weller; Mateo Rojas Carulla) 2015-01-16 11:00: Computational Neuroscience Course (4G3) (Mate Lengyel (Computational and Biological Learning Lab, Department of Engineering, University of Cambridge)) 2015-01-22 15:00: Advanced HMC (Nilesh Tripuraneni; Adam Scibior) 2015-01-27 16:00: Computational Neuroscience Journal Club (Sina Tootoonian ( CBL, Engineering, U. Cambridge)) 2015-01-29 15:00: Transfer Learning (Yingzhen Li; Eddy Pei-Hao Su) 2015-02-10 16:00: Computational Neuroscience Journal Club (Ryutaro Tanno (University of Cambridge)) 2015-02-12 15:00: Variance Reduction Techniques and Stochastic Optimisation for Monte Carlo (Matt Hoffman; Yutian Chen) 2015-02-24 16:00: Computational Neuroscience Journal Club (Alec Greaves-Tunnell (University of Cambridge)) 2015-03-04 12:00: Dopamine - beyond reward? (Thomas Fitzgerald, Wellcome Trust Centre for Neuroimaging, UCL) 2015-03-19 15:00: Combinatorial Stochastic Processes in Bayesian Nonparametrics (Creighton Heaukulani) 2015-03-26 15:00: Deep Gaussian Processes (Richard Turner, Alex Navarro, Thang Bui) 2015-04-02 15:00: Informational Geometry (Nilesh Tripuraneni, Shane Gu) 2015-04-16 15:00: Gaussian Process Models for Time Series (Roger Frigola, Carl Edward Rasmussen) 2015-04-23 15:00: Causal Inference (Mateo Rojas-Carulla, Amar Shah) 2015-04-28 16:00: Computational Neuroscience Journal Club (Guillaume Hennequin (University of Cambridge)) 2015-05-07 15:00: Scalable MCMC (Hong Ge, Jes Frellsen) 2015-05-12 16:00: Computational Neuroscience Journal Club (Yan Wu (University of Cambridge)) 2015-05-14 15:00: Hessian-free Optimisation for Neural Networks (Adnan Haider, Andrey Malinin) 2015-05-21 15:00: Convolutional Neural Networks (Christof Angermueller, Alex Kendall) 2015-05-26 11:00: Rogue states: altered dimensionality of neural circuit activity in Fragile-X mice (Cian O'Donnell, Computational Neurobiology Lab, Salk Institute, La Jolla) 2015-05-26 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2015-06-09 16:00: Computational Neuroscience Journal Club (Dr. David Barrett (University of Cambridge)) 2015-06-23 16:00: Computational Neuroscience Journal Club (Daniel McNamee) 2015-06-24 11:00: The statistical structure of noise in large neural populations (Neil Rabinowitz) 2015-06-24 11:30: A three-threshold learning rule approaches the maximal capacity of recurrent neural networks (Alireza Alemi, Politecnico di Torino (Italy)) 2015-07-08 16:00: Contextual modulation of gamma rhythms in inhibition stabilized cortical networks (Yashar Ahmadian, Columbia University) 2015-08-24 16:00: A normative account of episodic memory in online learning over open model spaces (Gergo Orban, MTA Wigner Research Centre for Physics, Budapest) 2015-10-07 09:30: Complementary approaches to Synaptic Plasticity: Objective Functions and Biophysics (Rodrigo Echeveste, Institute for Theoretical Physics, Goethe University Frankfurt) 2015-10-07 10:15: Decoding of complex stimuli from large retinal populations (Vicente Botella-Soler) 2015-10-12 11:30: Dale’s principle and the neural processing of latent factors (Alberto Bernacchia, Jacobs University, Bremen) 2015-10-13 16:00: Computational Neuroscience Journal Club (Yan Wu (University of Cambridge)) 2015-10-14 12:00: Approximate nonlinear filtering with a neural network (Jean-Pascal Pfister, ETH Zurich) 2015-10-22 14:30: LP relaxations for MAP inference (Adrian Weller (University of Cambridge)) 2015-10-27 16:00: Computational Neuroscience Journal Club (Dylan Festa (University of Cambridge)) 2015-10-29 14:30: Bayesian optimization and its applications (Dr. Matthew Hoffman (University of Cambridge), Alex Navarro) 2015-11-05 14:30: Detecting paraphrases using recursive autoencoders (Feynman Liang) 2015-11-10 16:00: Computational Neuroscience Journal Club (David Zoltowski (University of Cambridge)) 2015-11-12 14:30: Connections between kernels, GPs, and NNs (Matthias Bauer (University of Cambridge); Paul Rubenstein) 2015-11-19 14:30: Logic, Theorem Proving, and Probabilistic Programming (Christian Steinruecken (University of Cambridge)) 2015-11-24 16:00: Computational Neuroscience Journal Club (Dr. David Barrett (University of Cambridge)) 2015-11-26 14:30: Stochastic optimization and adaptive learning rates (Yingzhen Li (University of Cambridge); Mark Rowland) 2015-12-11 10:00: The contribution of millisecond spike timing of cortical neurons to sensory coding and perceptual decisions (Stefano Panzeri, Italian Institute of Technology) 2016-01-14 14:30: Stochastic discrete integration (Adrian Weller;Nilesh Tripuraneni (University of Cambridge)) 2016-01-21 14:30: Deep learning for time series (Christof Angermueller(University of Cambridge); David Zoltowski (University of Cambridge)) 2016-01-28 14:30: Random projection ensemble classification (Timothy Cannings) 2016-02-11 14:30: Differentiable Data Structures and (if we have time) POMDPs (Yarin Gal; Rowan McAllister (University of Cambridge)) 2016-02-12 12:00: Probabilistic synapses (Laurence Aitchison) 2016-02-18 14:30: Natural gradient descent and variational inference (Mark van der Wilk; Alex Matthews ) 2016-02-25 14:30: Learning by learning rich generative models (Thang Bui (University of Cambridge)) 2016-03-03 14:30: Probabilistic programming (Hong Ge (University of Cambridge); Matej Balog) 2016-03-16 10:00: It's the Network Dummy: Exhuming the reticular theory while shoveling a little dirt on the neuron doctrine (Tom Dean, Google Research) 2016-03-16 11:00: The stabilized supralinear network: A simple "balanced network" mechanism explaining nonlinear cortical integration (Ken Miller, Columbia University) 2016-03-21 11:00: Brain State Control by Closed-Loop Environmental Feedback (Taro Toyoizumi, RIKEN Brain Science Institute) 2016-03-31 14:30: Fast Fusion of Multi-band Images: A Powerful Tool for Super-resolution (Qi Wei (University of Cambridge)) 2016-04-07 14:30: Variational Methods and Compressed Sensing (Nilesh Tripuraneni (University of Cambridge)) 2016-04-14 14:30: inference failures in probabilistic programming (Tom Minka (Microsoft Research Ltd)) 2016-04-20 10:00: Synaptic origins of working memory capacity ( Misha Tsodyks, Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel ) 2016-04-21 14:30: Deep Q-Learning and AlphaGo (Shixiang Gu (University of Cambridge); Amar Shah) 2016-04-28 14:30: Topics in Expectation Propagation (Yingzhen Li (University of Cambridge), Rich Turner) 2016-05-05 14:30: An introduction to Bayesian nonparametrics: some inference schemes for infinite mixture models (Maria Lomeli) 2016-05-20 12:00: Perception as a closed-loop convergence process (Ehud Ahissar (Weizmann Institute)) 2016-05-26 14:30: Learning polynomials with Neural Networks (Aldo Pacchiano (Berkeley)) 2016-05-31 11:30: Towards a theory of layered neural circuit architectures (Alireza Alemi (École Normale Supérieure)) 2016-05-31 16:00: Perceptual decision-making: models of the decision-making process and formulation of uncertainty (David Zoltowski, University of Cambridge) 2016-06-02 14:30: Partially Observable Markov Decision Processes (POMDPs) (Rowan McAllister (University of Cambridge), Alex Navarro) 2016-06-14 16:00: Computational Neuroscience Journal Club (József Fiser (Central European University)) 2016-06-17 10:30: A decision-theoretic framework for active cognition (Angela J. Yu, UCSD Cognitive Science) 2016-07-05 16:00: Computational Neuroscience Journal Club (Mohsen Sadeghi (CBL)) 2016-07-12 16:00: Computational Neuroscience Journal Club (Alberto Bernacchia (CBL)) 2016-08-23 16:00: Computational Neuroscience Journal Club (Laurence Aitchison (CBL)) 2016-09-06 16:00: Computational Neuroscience Journal Club (Matthew Kerr (CBL)) 2016-09-20 16:00: Computational Neuroscience Journal Club (James Heald (CBL)) 2016-10-04 16:00: Computational Neuroscience Journal Club (Hannah Sheahan (CBL)) 2016-10-18 16:00: Computational Neuroscience Journal Club (Rodrigo Echeveste (CBL)) 2016-11-03 13:30: A crash-course on Bayesian Reinforcement Learning (Alexandre Khae Wu Navarro (University of Cambridge); Amar Shah) 2016-11-08 16:00: Computational Neuroscience Journal Club (Greg Sotiropoulos (CBL)) 2016-11-10 13:30: Sketching methods (John Bradshaw) 2016-11-14 09:00: Grid cells get back to the memory game (Alessandro Treves (SISSA)) 2016-11-15 09:00: Prospective coding by spiking neurons (Johanni Brea (EPFL)) 2016-11-17 12:15: Neural representations of uncertainty: the right tool for the right job (Cristina Savin (IST Austria)) 2016-11-17 13:30: deep generative models (Dave Janz; James Requeima) 2016-11-22 16:00: Computational Neuroscience Journal Club (Brian Trippe (CBL)) 2016-11-24 13:30: Bayesian Optimization (Pawel Budzianowiski; Brian Trippe) 2016-12-01 13:30: Symmetry in Statistical Models (Mark Rowland; Maria Lomeli) 2016-12-15 16:00: Computational Neuroscience Journal Club (Matthew Kerr (CBL)) 2017-01-19 13:30: NIPS 2016 papers in 5mins (MLG members) 2017-01-24 16:00: Computational Neuroscience Journal Club (Mohsen Sadeghi (CBL)) 2017-01-31 13:30: Deep Learning Book - Meeting 1 - Deep Feedforward NNs (Group Discussion) 2017-02-07 13:30: Deep Learning Book - Meeting 2 - Regularization (Group Discussion) 2017-02-07 16:00: Computational Neuroscience Journal Club (Alberto Bernacchia (CBL)) 2017-02-14 13:30: Deep Learning Book - Meeting 3 - Optimization (Group Discussion) 2017-02-16 13:30: Probabilistic Numerics (Alessandro Davide Ialongo (MLG - University of Cambridge)) 2017-02-20 10:00: Dynamic reorganization of neuronal activity patterns in parietal cortex (Laura Driscoll (Harvard University)) 2017-02-21 16:00: Computational Neuroscience Journal Club (Laurence Aitchison (CBL)) 2017-02-23 13:30: Deep Learning Book - Meeting 4 - Convolutional Networks (Group Discussion) 2017-03-02 13:30: Deep Learning Book - Meeting 5 - ResNets and DenseNets (Group Discussion) 2017-03-07 16:00: Computational Neuroscience Journal Club (Sebastian Schneegans (Bays Lab)) 2017-03-09 13:30: Differential Privacy (John Bradshaw; Alex Matthews) 2017-03-14 13:30: Deep Learning Book - Meeting 6 - Recurrent Neural Networks (Group Discussion) 2017-03-16 13:30: Kernel Mean Embeddings (Jiri Hron; Adam Scibior) 2017-03-21 13:30: Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs (Group Discussion) 2017-04-04 13:30: Deep Learning Book - Meeting 8 - Autoencoders (Group Discussion) 2017-04-04 16:00: Computational Neuroscience Journal Club (Hannah Sheahan (CBL)) 2017-04-11 13:30: Deep Learning Book - Meeting 9 - Representation Learning (Group Discussion) 2017-04-18 16:00: Computational Neuroscience Journal Club (James Heald (CBL)) 2017-05-04 16:00: Computational Neuroscience Journal Club (Rodrigo Echeveste (CBL)) 2017-05-08 16:30: Decoding the population activity of grid cells for spatial localization and goal-directed navigation (Andreas V.M. Herz, Bernstein Center for Computational Neuroscience, Munich and Faculty of Biology, LMU Muenchen) 2017-05-16 16:00: Computational Neuroscience Journal Club (Brian Trippe (CBL)) 2017-05-30 16:00: Computational Neuroscience Journal Club (Greg Sotiropoulos (CBL)) 2017-06-13 16:00: Computational Neuroscience Journal Club (Matthew Kerr (CBL)) 2017-06-14 10:00: Inferring decision rules from evidence, choice, and reaction times (Yul Kang (Columbia University)) 2017-06-14 10:45: Neural network models of free recall and spatial navigation (Stefano Recanatesi (Weizmann Institute)) 2017-06-14 11:30: motifNet: Deep learning for system identification of regulatory networks (Vincent Fortuin (ETH)) 2017-06-27 16:00: Computational Neuroscience Journal Club (Dhruva Raman (Control Group)) 2017-07-11 16:00: Computational Neuroscience Journal Club (Timothy O'Leary (Control Group)) 2017-10-03 15:00: Computational Neuroscience Journal Club (Rodrigo Echeveste (CBL)) 2017-10-17 11:00: Spike timing in motor control (Ilya Nemenman (Emory University)) 2017-10-17 16:00: Computational Neuroscience Journal Club (Mohsen Sadeghi (CBL)) 2017-10-19 13:30: Infer.NET (John F. Bronskill) 2017-10-26 10:00: From the olfactory cocktail party to markerless tracking ( Alexander Mathis, Department of Molecular and Cellular Biology, Harvard University) 2017-10-26 13:30: Cooperative Inverse RL (Robert Pinsler; Adria Garriga Alonso) 2017-10-26 14:00: Somatosensory cortex is essential for adaptive motor control in mice (Mackenzie Mathis, The Rowland Institute, Harvard University) 2017-10-31 16:00: Computational Neuroscience Journal Club (Alberto Bernacchia (CBL)) 2017-11-02 13:30: Deep Structured Prediction for Handwriting Recognition (Juan Murillo Fuentes) 2017-11-09 13:30: Interpretability in Machine Learning (Adrian Weller; Tameem Adel Hesham) 2017-11-13 14:30: How much to gain: Controlling space and time via gain modulation in cortical networks (Jake Stroud (Tim Vogels Lab. University of Oxford)) 2017-11-14 16:00: Computational Neuroscience Journal Club (Mahdieh Sadabadi (CBL)) 2017-11-16 13:30: WGAN and Optimal Transport (Mark Rowland; Wenbo Gong) 2017-11-23 13:30: Learning to Learn (Siddharth Swaroop; Will Tebbutt) 2017-11-28 16:00: Computational Neuroscience Journal Club (Laurence Aitchison (CBL)) 2017-11-30 13:30: Hardware Efficient Machine Learning (Robert Peharz; Marton Havasi) 2017-12-12 16:00: Computational Neuroscience Journal Club (Dhruva Raman (Control Group)) 2017-12-14 13:30: NIPS 2017 Highlights (Speaker to be confirmed) 2018-01-11 13:30: Machine Learning for Sounds (Akisato Kimura) 2018-01-23 16:00: Computational Neuroscience Journal Club (Greg Sotiropoulos (CBL)) 2018-01-25 13:30: Minimum Description Length (Carl E. Rasmussen; Niki Kilbertus) 2018-02-01 13:30: Deep Generative Models (Jonathan Gordon; Alexander Matthews) 2018-02-06 16:00: Computational Neuroscience Journal Club (Calvin Kao (CBL)) 2018-02-15 11:00: Interfacing with the brain using organic electronics (George Malliaras (Department of Engineering, University of Cambridge,)) 2018-02-15 13:30: Statistical Learning Theory (Maria Lomeli) 2018-02-20 16:00: Computational Neuroscience Journal Club (Robert Taylor (Bays Lab)) 2018-03-01 13:30: Information Theory, Codes, and Compression (Christian Steinruecken (University of Cambridge)) 2018-03-08 13:30: Neural Networks and Natural Language Processing (Matej Balog (University of Cambridge)) 2018-05-03 15:30: Information Efficacy of a Dynamic Synapse (Mehrdad Salmasi (Ludwig-Maximilians-University Munich)) 2018-05-15 16:00: Computational Neuroscience Journal Club (Andrey Stoychev (Control Group)) 2018-05-29 16:00: Computational Neuroscience Journal Club (Adrianna Loback (Control Group)) 2018-06-12 16:00: Computational Neuroscience Journal Club (Xizi Li (CBL)) 2018-06-26 16:00: Computational Neuroscience Journal Club (Yul Kang (CBL)) 2018-07-17 16:00: Computational Neuroscience Journal Club (Guillaume Hennequin (CBL)) 2018-09-11 10:00: Reactivation in biological and artificial neural networks (Gido van de Ven, PhD; Baylor College of Medicine) 2018-10-02 16:00: Computational Neuroscience Journal Club (Alberto Bernacchia (CBL)) 2018-10-16 16:00: Computational Neuroscience Journal Club (Rodrigo Echeveste (CBL)) 2018-10-30 14:00: Computational Neuroscience Journal Club (Adriana Perez-Rotondo (Control group)) 2018-10-31 14:00: Reinforcement Learning and Control as Probabilistic Inference (Robert Pinsler, Calvin Kao) 2018-11-07 14:00: Defending Against Adversarial Attacks (Ross Clarke (University of Cambridge)) 2018-11-13 16:00: Computational Neuroscience Journal Club (Michael Rule (Control Group)) 2018-11-14 14:00: Graph Neural Networks (Matej Balog (University of Cambridge)) 2018-11-20 11:00: Neural mechanisms of model-based planning in the rat (Kevin Miller, University College London) 2018-11-21 11:00: A brain-machine interface for locomotion driven by subspace dynamics (Karen E. Schroeder, Columbia University) 2018-11-21 14:00: Natural gradient in deep neural networks (Alberto Bernacchia (University of Cambridge)) 2018-11-26 16:30: Adrian Seminar - "Computational model of rapid learning in hippocampus". (Claudia Clopath, Imperial College London) 2018-11-27 16:00: Computational Neuroscience Journal Club (Marcelo Mattar (CBL)) 2018-11-28 14:00: Neural Ordinary Differential Equations (Eric T Nalisnick (University of Cambridge)) 2019-01-18 11:00: Local and global synaptic credit assignment (Dr Rui Ponte Costa (University of Bristol)) 2019-01-22 16:00: Computational Neuroscience Journal Club (Daniel Acosta-Kane (CBL)) 2019-01-28 14:00: Stein Discrepancy (Sebastian Ober (University of Cambridge)) 2019-02-01 12:30: High-dimensional dynamics of generalization error in neural networks: implications for experience replay (Dr. Andrew Saxe, University of Oxford) 2019-02-05 16:00: Computational Neuroscience Journal Club (Laurence Aitchison (CBL)) 2019-02-13 13:45: Logical Uncertainty (Adrià Garriga Alonso (University of Cambridge)) 2019-02-15 10:00: Neural circuit mechanisms of learning and attentional task-switching during visually-guided behaviour in mice (Dr Jasper Poort ( Department of Psychology, Cambridge)) 2019-02-19 16:00: Computational Neuroscience Journal Club (Flavia Mancini (University of Cambridge)) 2019-02-20 13:45: Generative models for few-shot prediction tasks (Marta Garnelo (Google DeepMind)) 2019-02-27 11:00: Stimulus complexity shapes response correlations in primary visual cortex (Gergő Orbán (HAS Wigner Research Centre for Physics)) 2019-02-27 13:45: Causal Inference and Causal Reinforcement Learning (Chaochao Lu (University of Cambridge)) 2019-03-06 13:45: Continual Learning: Definitions, Benchmarks, and Approaches (Siddharth Swaroop (University of Cambridge)) 2019-03-13 13:45: Implicit Variational Inference (Andrew Foong (University of Cambridge)) 2019-03-14 14:00: The K-FAC method for neural network optimization (James Martens, Google Deep Mind) 2019-03-19 16:00: Computational Neuroscience Journal Club (Ta-Chu (Calvin) Kao -- CBL) 2019-04-03 13:45: Sampling as Optimization (Eric Nalisnick, University of Cambridge) 2019-04-04 11:30: Computational Neuroscience Journal Club (Jake Stroud) 2019-04-04 11:30: Computational Neuroscience Journal Club (Jake Stroud) 2019-04-24 14:00: An Overview of Normalizing Flows (Robert Pinsler) 2019-04-30 16:00: Computational Neuroscience Journal Club (Gido van de Ven) 2019-05-01 14:00: Generalisation in neural networks (Marton Havasi) 2019-05-08 14:00: Stochastic Differential Equations (David Burt) 2019-05-14 16:00: Computational Neuroscience Journal Club (Xizi Li (CBL)) 2019-05-15 14:00: Particle MCMC (Will Tebbutt (University of Cambridge)) 2019-05-21 11:00: How perception informs urgent saccadic choices: halting, acceleration, and deceleration (Emilio Salinas (Wake Forest School of Medicine)) 2019-05-28 16:00: Computational Neuroscience Journal Club (Thomas Burger (Control Group)) 2019-06-11 16:00: Computational Neuroscience Journal Club (Dhruva Raman (University of Cambridge)) 2019-09-10 10:00: Wearable non-invasive human neural interface with action potential resolution (Dan Wetmore, PhD, Director of Clinical and Research partnerships, CTRL-labs) 2019-09-10 10:00: Wearable non-invasive human neural interface with action potential resolution (Patrick Kaifosh, PhD, Chief Science Officer, CTRL-labs) 2019-10-08 16:00: Computational Neuroscience Journal Club (Calvin Kao) 2019-10-09 10:00: Neurotransmitter spillover modulates neuronal information transmission (Mehrdad Salmasi (Ludwig-Maximilians-Universität, Munich)) 2019-10-10 11:30: Dopamine as prediction error in active inference (Rafal Bogacz (Oxford)) 2019-10-22 16:00: Computational Neuroscience Journal Club (Michael Rule) 2019-10-23 14:00: Hamiltonian Monte Carlo for Hierarchical Models (Vidhi Lalchand) 2019-10-30 14:00: Meta-Learning or "Learning To Learn" (John Bronskill, Marton Havasi) 2019-11-05 11:30: Neural information processing during behavior and sleep (Mayank Mehta (UCLA)) 2019-11-05 16:00: Computational neuroscience journal club (Monika Jozsa) 2019-11-06 14:00: Hyperparameter Optimisation (Ross Clarke, Erik Daxberger, Austin Tripp) 2019-11-13 14:00: Equivariance and Symmetries in CNNs (James Allingham, Omer Sella) 2019-11-14 11:00: Structure in the randomness of trained recurrent neural networks (Omri Barak (Technion, Israel Institute of Technology)) 2019-11-19 16:00: Computational Neuroscience Journal Club (Yul Kang (University of Cambridge)) 2019-11-20 14:00: Neural Attention (Elre Oldewage, George Hron) 2019-11-27 14:00: Probabilistic Programming (Hong Ge and John Bronskill) 2019-12-03 16:00: Computational Neuroscience Journal Club (Adriana Perez Rotondo (University of Cambridge)) 2019-12-04 14:00: Scalable Gaussian Processes (David Burt, Andrew Foong) 2020-01-14 16:00: Computational Neuroscience Journal Club (Kris Torp Jensen) 2020-01-28 16:00: Computational Neuroscience Journal Club (Simon Schug (University of Cambridge)) 2020-01-28 16:00: Computational Neuroscience Journal Club (Simon Schug (University of Cambridge)) 2020-02-11 16:00: Computational Neuroscience Journal Club (Wayne Soo (University of Cambridge)) 2020-02-12 11:00: Neural Tangent Kernel (Adria Garriga Alonso, Sebastian Ober) 2020-02-19 11:00: Kernel Mean Embeddings (Elre Oldewage (University of Cambridge)) 2020-02-25 16:00: Computational Neuroscience Journal Club (Marine Schimel) 2020-02-25 16:00: Computational Neuroscience Journal Club (Marine Schimel) 2020-02-26 11:00: Self-Supervised Representation Learning (Javier Antoran (University of Cambridge)) 2020-03-10 16:00: Computational Neuroscience Journal Club (Xizi Li (University of Cambridge)) 2020-03-11 11:00: Federated Learning (Siddharth Swaroop (University of Cambridge)) 2020-03-18 11:00: World Models (Dr Gregor Simm (University of Cambridge)) 2020-04-01 11:00: Boltzmann Generators and Stochastic Normalizing Flows (Vincent Stimper, Michael Bromberg) 2020-04-07 15:00: Computational Neuroscience Journal Club (Kris Jensen and Marine Schimel) 2020-04-08 11:00: Machine Learning on Sets ( (University of Cambridge)) 2020-04-15 11:00: Strategic Classification (Jiri Hron (University of Cambridge)) 2020-04-21 15:00: Computational Neuroscience Journal Club (Yul Kang (University of Cambridge)) 2020-04-22 11:00: Recent Developments in Bayesian Deep Learning (Andrew Foong, Siddharth Swaroop) 2020-04-27 16:30: Why do neurons spike spontaneously? (Tim Vogels (University of Oxford)) 2020-04-27 16:30: Why do neurons spike spontaneously? (Tim Vogels (University of Oxford)) 2020-04-29 11:00: Differentiable Planning (Will Tebbutt, Robert Pinsler) 2020-05-05 15:00: Computational Neuroscience Journal Club (Jake Stroud (University of Cambridge)) 2020-05-06 11:00: Best of ICLR 2020 ( (University of Cambridge)) 2020-05-19 15:00: Computational Neuroscience Journal Club (Guillaume Hennequin (University of Cambridge)) 2020-06-02 15:00: Computational Neuroscience Journal Club (Mate Lengyel (Engineering Department)) 2020-06-17 11:00: Recent advances in the theory and applications of VAEs (Gergely Flamich and Alexandru Cioba) 2020-06-24 11:00: Active Learning (Austin Tripp and Erik Daxberger (University of Cambridge)) 2020-06-30 16:30: Computational Neuroscience Journal Club (Yashar Ahmadian) 2020-10-06 15:00: Computational Neuroscience Journal Club (Kris Jensen and David Liu) 2020-10-16 15:00: Cognitive switches and functional reprogramming of sensory cortex (Abhishek Banerjee, Newcastle University) 2020-10-20 15:00: Computational Neuroscience Journal Club (Yul Kang and Wayne Soo) 2020-11-04 11:00: Best Papers from ICML 2020 (Reading group participants) 2020-11-11 11:05: Gradient-based Hyperparameter Optimisation (Ross Clarke (University of Cambridge)) 2020-11-17 15:00: Computational Neuroscience Journal Club (Jasmine Stone (University of Cambridge)) 2020-11-18 11:00: Symmetries in Reinforcement Learning (Robert Pinsler and Adria Garriga Alonso (University of Cambridge)) 2020-11-25 11:00: Large-scale sequential experimentation (Wessel Bruinsma and Jiri Hron (University of Cambridge)) 2020-12-01 15:00: Computational Neuroscience Journal Club (Gido van de Jen) 2020-12-02 11:00: Neural Processes (Andrew Foong, Stratis Markou and Sebastian Ober (University of Cambridge)) 2020-12-09 14:00: The covariance perceptron: Theory and application to reservoir computing (Matthieu Gilson, Sofia Lawrie (Universitat Pompeu Fabra)) 2020-12-15 15:00: Computational Neuroscience Journal Club (Calvin Kao and Marine Schimel) 2020-12-16 11:00: Best of NeurIPS (Speaker to be confirmed) 2020-12-18 09:00: A theory for Hebbian Learning in recurrent E-I networks (Samuel Eckmann (Max Planck Institute for Brain Research, Frankfurt am Main, Germany)) 2021-01-13 11:00: Meta-reinforcement learning (Kris Jensen and Calvin Kao (University of Cambridge)) 2021-01-20 11:00: Bayesian optimization / Gaussian Process Bandits (Sattar Vakili (MediaTek Research)) 2021-02-10 11:00: Variational Bayes as Surrogate Regression (Will Tebbutt (University of Cambridge)) 2021-02-17 11:00: Fairness in AI (Elre Oldewage (University of Cambridge)) 2021-02-23 15:00: Computational Neuroscience Journal Club (David Liu and Jeroen Olieslagers) 2021-02-24 11:00: Inference in Stochastic Processes (Javier Antoran (University of Cambridge), Matthew Ashman (University of Cambridge), Stratis Markou (University of Cambridge)) 2021-03-03 11:00: Long-Range Transformers (Valerii Likhosherstov, University of Cambridge) 2021-03-09 15:00: Computational Neuroscience Journal Club (Jascha Achterberg and Kris Jensen) 2021-03-10 11:00: Causal Representation Learning (Chaochao Lu, University of Cambridge) 2021-03-17 11:00: Gaussian Processes I have Known (Anthony O'Hagan, University of Sheffield) 2021-03-23 15:00: Computational Neuroscience Journal Club (Jake Stroud and Marine Schimel) 2021-03-24 11:00: Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks (Yaniv Yacoby, Harvard University) 2021-03-31 11:00: Secondmind's research activities to make Gaussian Processes industry proof (Nicolas Durrande, Director of Research at Secondmind) 2021-04-06 15:00: Computational Neuroscience Journal Club (Yul Kang and Jonathan So) 2021-04-07 11:00: Monte Carlo Gradient Estimation in Machine Learning (James Allingham (University of Cambridge)) 2021-04-14 11:00: Online Learning and Online Convex Optimisation (Siddharth Swaroop (University of Cambridge)) 2021-04-16 16:00: CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning (Andrew Gordon Wilson) 2021-04-20 14:00: Automated Augmented Conjugate Inference for Gaussian Processes (Théo Galy-Fajou (TU Berlin)) 2021-04-21 11:00: An Introduction to PAC-Bayes (Andrew Foong, David Burt and Javier Antoran (University of Cambridge)) 2021-04-30 16:00: CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning (Mark van der Wilk, Imperial College London) 2021-05-04 15:00: Computational Neuroscience Journal Club (Zahara Girones and Ivan Tomic) 2021-05-12 11:00: Best of ICLR (Speaker to be confirmed) 2021-05-14 16:00: CBL Alumni Talk - Our Power as Technical Designers (Shakir Mohamed, Deepmind) 2021-05-18 15:00: Computational Neuroscience Journal Club (Jean-Pascal Pfister and Xizi Li) 2021-06-01 15:00: Computational Neuroscience Journal Club (Mate Lengyel and Jasmine Stone) 2021-06-02 11:00: The Statistical Finite Element Method (Mark Girolami (University of Cambridge)) 2021-06-03 10:00: Capacity and errors in classification of object manifolds (Uri Cohen (Hebrew University of Jerusalem)) 2021-06-04 16:00: CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class. (David Duvenaud, University of Toronto) 2021-06-09 11:00: Pseudo-Points and State-Space Gaussian Processes (Will Tebbutt (University of Cambridge)) 2021-06-11 16:00: CBL Alumni Talk: Finale Doshi-Velez (Finale Doshi-Velez, Harvard University) 2021-06-15 15:00: Computational Neuroscience Journal Club (Yashar Ahmadian and Wayne Soo) 2021-06-29 15:00: Computational Neuroscience Journal Club (Kris Jensen and Georgia Turner) 2021-07-02 16:00: CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister (Jean-Pascal Pfister, University of Zurich and ETH Zurich) 2021-07-09 16:00: CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin (Cristina Savin, New York University) 2021-09-24 14:00: Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models (Matej Zecevic, TU Darmstadt) 2021-09-28 14:00: Computational Neuroscience Journal Club (Marine Schimel and David Liu) 2021-10-12 14:00: Computational Neuroscience Journal Club (Guillaume Hennequin and Kris Jensen) 2021-10-20 11:00: Planning Meeting + PI Presentations (CBL and Computer Lab PIs) 2021-10-26 14:00: Computational Neuroscience Journal Club (Yul Kang and Wayne Soo) 2021-10-27 11:00: Implicit Regularization in Deep Learning ( Jezabel Garcia, Alberto Bernacchia (MediaTek Research)) 2021-11-03 11:00: Ethics, Integrity and Good Practice in ML (Ross Clarke (University of Cambridge)) 2021-11-04 15:30: Representation Learning: A Causal Perspective (Yixin Wang) 2021-11-09 14:00: Computational Neuroscience Journal Club (Yashar Ahmadian and Gido van de Ven) 2021-11-10 11:00: Mean Field Theory of NN (postponed to March 2022) (Speaker to be confirmed) 2021-11-17 11:00: Deep Kernels (Sebastian Ober and Austin Tripp (University of Cambridge)) 2021-11-23 13:30: Computational Neuroscience Journal Club (Georgia Turner and Falvia Mancini) 2021-11-26 14:00: Connectivity inference in visual cortex and characterization of contrast-suppressed cells (Simon Renner, Ludwig-Maximilians-Universität München) 2021-12-01 11:00: Energy-Based Models (Stratis Markou and James Allingham (University of Cambridge)) 2021-12-07 15:00: Computational Neuroscience Journal Club (Daniel Turner-Evans and Hannah Haberkern) 2021-12-15 11:00: [Cancelled] Best of Neurips (Speaker to be confirmed) 2022-01-12 11:00: AI Safety (Neel Alex) 2022-01-19 11:00: Diffusion and Score-based Generative Models (Vincent Dutordoir, Wenlin Chen, Tor Fjelde (University of Cambridge)) 2022-01-25 13:30: Computational Neuroscience Journal Club (Kris Jensen and Marine Schimel) 2022-02-02 11:00: Learned Compression (Gergely Flamich and Stratis Markou (University of Cambridge)) 2022-02-08 13:30: Computational Neuroscience Journal Club (Jake Stroud and Michal Wojcik) 2022-02-09 11:00: Optimal Transport Metrics (Shreyas Padhy, University of Cambridge) 2022-02-16 11:00: Circuits and Interpretability (Lauro Langosco, Elre Oldewage and Juyeon Heo(University of Cambridge)) 2022-02-23 11:00: Retrieval Augmented NLP (Jiri Hron and Nitarshan Rajkumar (University of Cambridge)) 2022-03-08 13:30: Computational Neuroscience Journal Club (Flavia Mancini and Finn Ashley) 2022-03-09 11:00: Introduction to differential privacy (Talay Cheema & Ferenc Huszar (University of Cambridge)) 2022-03-16 11:00: The Bayesian Learning Rule for Adaptive AI (Emti Khan, RIKEN center for Advanced Intelligence Project) 2022-03-23 11:00: An Overview of AI Alignment (Neel Alex, University of Cambridge) 2022-03-30 11:00: Autoregressive Diffusion Models (Emiel Hoogeboom) 2022-04-05 13:30: Computational Neuroscience Journal Club (David Liu and Edward Young) 2022-04-20 11:00: Machine Learning with Quantum Computers (Amira Abbas and Maria Schuld) 2022-05-04 11:00: Bests of ICLR (Speaker to be confirmed) 2022-05-11 11:00: How close are these distributions? A brief introduction to statistical distances and divergences. (David Burt, University of Cambridge) 2022-05-17 15:00: How a recurrent circuit of Poisson spiking neurons is able to implement sampling-based inference (Wen-Hao Zhang) 2022-05-25 11:00: Discussion: Bayesian Model Selection, the Marginal Likelihood, and Generalization (Speaker to be confirmed) 2022-05-31 15:00: Computational Neuroscience Journal Club (Kris Jensen and Wayne Soo) 2022-06-01 11:00: Rethinking evaluation for machine learning models (Adrian Goldwaser & Shoaib Siddiqui) 2022-06-08 11:00: Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks (Speaker to be confirmed) 2022-06-14 15:00: Computational Neuroscience Journal Club (Jakub Onysk and Yul Kang) 2022-06-15 11:00: Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors (Speaker to be confirmed) 2022-06-22 11:00: Benefits and Shortcomings of Assistance (Dmitrii Krasheninnikov and Lauro Langosco, University of Cambridge) 2022-06-29 11:00: The role of meta-learning for few-shot classification (Eleni Triantafillou, Google Brain) 2022-07-06 11:00: The unreasonable effectiveness of mathematics in large scale deep learning (Greg Yang, Microsoft Research) 2022-09-28 11:00: Theory and Practice of Infinitely Wide Neural Networks - Guest Talk (Roman Novak, Google Brain) 2022-10-12 11:00: Advanced artificial agents intervene in the provision of reward (Michael Cohen, University of Oxford) 2022-10-24 10:30: Random walks, self-reinforcement and neurons (Daniel Han, MRC Laboratory of Molecular Biology, Cambridge, UK) 2022-10-25 14:00: Computational Neuroscience Journal Club (Jake Stroud and David Liu) 2022-10-26 11:00: Benchmarking and evaluation in contemporary machine learning (Austin Tripp and Shoaib Siddiqui, University of Cambridge) 2022-11-08 14:00: Computational Neuroscience Journal Club (Samuel Eckmann and Yashar Ahmadian) 2022-11-09 11:00: A tutorial on diffusion models (Emile, Sasha from CBL) 2022-11-16 11:00: Predicting generalization of ML models. (Vihari Piratla and Shreyas Padhy) 2022-11-22 14:00: Computational Neuroscience Journal Club (Rui Xia and Mate Lengyel) 2022-11-23 11:00: Information Geometry — Natural Gradient Descent (Andy Lin, MLG) 2022-11-29 14:00: Understanding the emergence of neural population dynamics underlying behaviour (Juan Alvaro Gallego) 2022-12-06 14:00: Computational Neuroscience Journal Club (Edward Young, Zahara Girones) 2022-12-15 11:00: Scalable simulation and inference in non-Gaussian stochastic PDEs (David Duvenaud (University of Toronto)) 2023-02-07 13:30: The unbreakable lightness of single neuron non-linearities in learning (Yasser Roudi, Kavli Institute for Systems Neuroscience) 2023-02-08 11:00: {PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints (Jixiang Qing, SUMO lab, Ghent University,) 2023-02-14 14:00: Computational Neuroscience Journal Club (Puria Radmard and David Liu) 2023-02-15 11:00: Offline Reinforcement Learning (Max Patacchiola (University of Cambridge), Stephen Chung (University of Cambridge), Adam Jelley (University of Edinburgh)) 2023-02-21 14:00: Computational Neuroscience Journal Club (Luke Johnston, Wayne Soo) 2023-02-22 11:00: Bayesian Neural Networks (James Allingham, Javier Antorán, Vincent Fortuin (University of Cambridge)) 2023-03-01 11:00: An Overview of Differential Privacy, Membership Inference Attacks, and Federated Learning (Ali Shahin Shamsabadi (Alan Turing Institute) and John Bronskill (University of Cambridge)) 2023-03-08 11:00: Random Features for Kernel Approximation (Isaac Reid (University of Cambridge)) 2023-03-15 11:00: User Manipulation in Recommender Systems (Micah Carroll (UC Berkeley)) 2023-03-22 11:00: Causal Machine Learning (Wenlin Chen, Julien Horwood & Juyeon Heo (University of Cambridge)) 2023-03-28 14:00: Computational Neuroscience Journal Club (Marine Schimel (CBL), Guillaume Hennequin (CBL), Alfonso Renart (Champalimaud)) 2023-03-29 11:00: Physics-informed machine learning (Pingfang Song (University of Cambridge)) 2023-04-05 11:00: Scalable Approaches to Self-Supervised Learning using Spectral Analysis (Ross Viljoen and Vincent Dutordoir (University of Cambridge)) 2023-04-12 11:00: No-regret Dynamics for Multi-agent Learning (Alexander Terenin (University of Cambridge)) 2023-04-19 11:00: Neural Tangent Kernel (Adrian Goldwaser and Lauro Langosco (University of Cambridge) ) 2023-04-25 14:00: Computational Neuroscience Journal Club (Alejandro Tabas and Theoklitos Amvrosiadis) 2023-05-03 11:00: Learning-based multiscale modeling: computing, data science, and uncertainty quantification (Burigede Liu) 2023-05-10 11:00: Navigating the Future: Upcoming EU AI Regulation and its Potential Impact on the Field (Miri Zilka, University of Cambridge) 2023-05-24 11:00: Reward Modelling (Usman Anwar, University of Cambridge) 2023-05-30 14:00: Computational Neuroscience Journal Club (Will Greedy, University of Bristol) 2023-05-31 11:00: On choosing the mass matrix for Hamiltonian Monte Carlo (Tor Fjelde and Tim Hargreaves, University of Cambridge) 2023-06-06 14:00: Computational Neuroscience Journal Club (Rui Xia and David Lui) 2023-06-07 11:00: Game theory, distributional reinforcement learning, control and verification (Prof. Alessandro Abate, Dr. Licio Romao, Dr. Yulong Gao and Dr. Jiarui Gan. University of Oxford) 2023-06-14 11:00: The LLM Tidal Wave (Katie Collins, University of Cambridge) 2023-06-14 11:00: The LLM Tidal Wave (Katie Collins, University of Cambridge) 2023-06-20 14:00: Computational Neuroscience Journal Club (Yashar Ahmadian and Puria Radmard) 2023-06-21 11:00: Schrödinger bridges, diffusion and SDEs (Stratis Markou and Shreyas Padhy) 2023-06-28 11:00: Deciphering Batch Effects in Single-cell Transcriptomics with Concept Bottlenecks (Hanchen Wang, Stanford CS and Genentech gRED) 2023-10-02 13:30: Structured recognition for generative models with explaining away (Changmin Yu, Gatsby Computational Neuroscience Unit, UCL, London, UK) 2023-10-10 14:00: A new look at eye design (Simon Laughlin, Department of Zoology, Cambridge) 2023-10-10 14:00: Computational Neuroscience Journal Club (Department of Zoology, Cambridge) 2023-10-18 11:00: Quasi-Monte Carlo: structure in the randomness for better sampling (Isaac Reid, University of Cambridge) 2023-10-24 14:00: Computational Neuroscience Journal Club (Rui Xia, Edward Young) 2023-10-25 11:00: Learning linear models in-context with transformers (Spencer Frei, UC Davis) 2023-10-31 14:00: Computational Neuroscience Journal Club (Samuel Eckmann) 2023-10-31 14:00: Computational Neuroscience Journal Club (Samuel Eckmann) 2023-10-31 14:00: Computational Neuroscience Journal Club (Samuel Eckmann) 2023-11-01 11:00: Deep Learning for Medium-Range Global Weather Prediction (Prof. Richard Turner and Stratis Markou, University of Cambridge) 2023-11-08 11:00: Learning Directed Acyclic Graphs (DAGs) With Continuous Optimization (Dr Pingfan Song, University of Cambridge) 2023-11-14 14:00: Computational Neuroscience Journal Club (Speaker to be confirmed) 2023-11-14 14:00: Computational Neuroscience Journal Club (Speaker to be confirmed) 2023-11-15 11:00: A Poisson Process Model for Monte Carlo (Greg Flamich, University of Cambridge) 2023-11-21 14:00: Computational Neuroscience Journal Club (Dr Theoklitos Amvrosiadis, Puria Radmard) 2023-11-22 11:00: Challenges of Regulating Increasingly Complicated Human-AI Collaborative Systems (Dr Miri Zilka and Katie Collins, University of Cambridge) 2023-11-29 11:00: Flow matching, stochastic interpolants and everything in between (Emile Mathieu, Tor Fjelde and Vincent Dutordoir (Cambridge MLG)) 2024-02-07 11:00: Bayesian coresets (Tor Fjelde and Will Tebbutt, University of Cambridge) 2024-02-14 11:00: GenCast: Diffusion-based ensemble forecasting for medium-range weather (or: How to ruin a numerical weather forecaster’s Christmas) (Andrew McDonald and Kenza Tazi, University of Cambridge) 2024-02-14 14:00: Computational Neuroscience Journal Club (Changmin Yu ( Gatsby Computational Neuroscience Unit, UCL, London, UK)) 2024-02-21 11:00: Learning Symmetries in Neural Networks (James Allingham and Bruno Mlodozeniec ) 2024-02-21 14:00: Computational Neuroscience Journal Club (Dr Theoklitos Amvrosiadis (University of Cambridge)) 2024-02-27 15:00: Title to be confirmed (Guillaume Hennequin (University of Cambridge)) 2024-02-27 15:00: Computational Neuroscience Journal Club (Guillaume Hennequin (University of Cambridge)) 2024-02-28 11:00: An Introduction to Transformer Neural Processes (Matt Ashman and Cristiana Diaconu) 2024-03-12 10:00: Behavioral, Neuropsychological, and Computational Perspectives on Sensorimotor Learning (Incoming faculty at Carnegie Mellon University's Department of Psychology and Postdoc the MRC Cognition and Brain Sciences Unit) 2024-03-12 10:00: Behavioral, Neuropsychological, and Computational Perspectives on Sensorimotor Learning (Jonathan Tsay - Incoming faculty at Carnegie Mellon University's Department of Psychology and currently postdoc at the MRC Cognition and Brain Sciences Unit in Cambridge) 2024-03-13 11:00: An Introduction to the Conjugate Gradient Method (Jihao Andeas Lin, University of Cambridge) 2024-03-19 10:00: Neurotransmitter receptor gradients: gateways for subcortical routing of cortex-wide dynamics during cognition (Seán Froudist-Walsh, U Bristol) 2024-03-20 11:00: Neural likelihood-free inference (Yanzhi Chen, University of Cambridge) 2024-04-17 11:00: AI Control (Dmitrii Krasheninnikov, Lauro Langosco, University of Cambridge) 2024-04-24 11:00: Discussing the Stanford AI Report (Bruno Mlodozeniec, Julien Horwood, Runa Eschenhagen) 2024-04-24 11:00: Discussing the Stanford AI Report (Bruno Mlodozeniec, Julien Horwood, Runa Eschenhagen, University of Cambridge) 2024-05-01 11:00: Mean Field Theory of NNs (Adrian Goldwaser, University of Cambridge) 2024-05-01 14:00: Computational Neuroscience Journal Club (Rui Xia, Youjing Yu) 2024-05-08 12:15: Unifying the mechanisms of the hippocampal and prefrontal cognitive maps (James Whittington, Sir Henry Wellcome Postdoctoral Fellow, Stanford University & Oxford University) 2024-05-20 10:00: Integrated Spin model with global inhibition for decision making (Nir Gov, Weizmann Institute of Science) 2024-05-24 10:00: Circuit for memory-based action selection (Marta Zlatic, Department of Zoology, University of Cambridge) 2024-05-29 11:00: A Light Introduction to Topological Data Analysis (Tim Hargreaves, Tor Fjelde, University of Cambridge) 2024-06-05 14:00: Computational Neuroscience Journal Club (Speaker to be confirmed) 2024-06-18 10:00: Learning Bayesian inference models of cortical visual processing (Rodrigo Echeveste, sinc(i), Santa Fe, Argentina) 2024-06-24 10:00: Causal inference during motion perception, and its neural basis (Ralf Haefner, Department for Brain & Cognitive Sciences, University of Rochester) 2024-06-26 11:00: Task Alignment (Vihari Piratla, University of Cambridge) 2024-10-11 17:00: Geometry of population coding in large and transcriptomically-identified cortical populations (Ken Harris, University College London) 2024-10-29 13:30: Sensory prediction errors in thalamocortical circuits (Daniel Kornai; Máté Lengyel) 2024-10-30 11:00: Linear Attention for Efficient Transformers (Isaac Reid (University of Cambridge)) 2024-11-06 11:00: Natural Experiments in NLP and Where to Find Them (Pietro Lesci, University of Cambridge) 2024-11-12 13:30: Geometry of neural representations (Carl Ashworth; Ishan Kalburge) 2024-11-13 11:00: Are we making progress in unlearning?  (Eleni Triantafillou (Google DeepMind)) 2024-11-20 11:00: Scalable Sampling Using Annealed Algorithms (Saifuddin Syed (University of Oxford)) 2024-11-26 13:30: State space models (as alternatives to Transformers) (Yashar Ahmadian; Qingyun Chen) 2024-11-27 11:00: An Elementary Introduction to Sequential Monte Carlo Samplers (Xianda Sun (University of Cambridge)) 2024-12-03 14:00: Relating the diversity of firing rates to the dimension of variability in recurrent networks (Brent Doiron, University of Chicago) 2024-12-04 11:00: Learning curve prediction for AutoML (Andy Lin) 2024-12-04 11:00: Learning curve prediction for AutoML (Andy Lin) 2025-01-07 11:00: Modelling C. elegans pharynx (Dana Sherman, Weizmann) 2025-01-07 15:00: Evaluating dynamical systems hypotheses for pattern generation in motor cortex (Lea Duncker, Columbia) 2025-01-21 15:00: Data-driven models of neural and behavioural learning (N Alex Cayco Gajic, École Normale Supérieure) 2025-01-22 11:00: Foundation Models in Robotics (Liyou Zhou (Cambridge)) 2025-01-29 11:00: An Introduction to Algorithmic Differentiation (Will Tebbutt (University of Cambridge)) 2025-01-29 11:00: An Introduction to Algorithmic Differentiation (Will Tebbutt (University of Cambridge)) 2025-02-05 11:00: Unpacking UK’s New AI Action Plan: Ambition versus Reality (Miri Zilka and Usman Anwar, University of Cambridge) 2025-02-11 15:00: Inverse normative modeling of continuous perception and action (Dominik Straub, TU Darmstadt) 2025-02-11 15:45: Neural circuit reorganisation and functional resilience (Noor Sajid, Max Planck for Biological Cybernetics) 2025-02-12 11:00: Diffusion Models Beyond Mean Prediction (Mingtian Zhang, University College London) 2025-02-12 15:00: Certain about uncertainty? Latent representations of VAEs optimized for visual tasks. (Josefina Catoni, Universidad Nacional del Litoral) 2025-02-18 15:00: Hopfield Networks: From Neuroscience to Machine Learning and Back (Youjing Yu; Tim Lin) 2025-02-19 11:00: Geometric Deep Learning for Structure-Based Drug Design (Zixing Song) 2025-02-26 11:00: Sampling with diffusion models (Shreyas Padhy, Jiajun He (University of Cambridge)) 2025-03-04 15:00: The Continual Learning (CL) Theory (Sasha Rivkind; Nicolas Anguita) 2025-03-05 11:00: Influence Functions (Adrian Goldwaser, Bruno Mlodozeniec, Runa Eschenhagen, University of Cambridge) 2025-03-11 15:00: Integrating Random Memory Patterns and Spatial Maps in Food-Caching Birds (Speaker to be confirmed) 2025-03-12 11:00: ML for Medium-Range Weather Forecasting (Cristiana Diaconu, Aliaksandra Shysheya and Andrew McDonald, University of Cambridge) 2025-03-19 11:00: An Introduction to In-Context Learning (Juyeon Heo, John Bronskill, University of Cambridge) 2025-03-26 11:00: Learning to See the World in 3D (Ayush Tewari (University of Cambridge)) 2025-04-02 11:00: Out-of-context reasoning/learning in LLMs and its safety implications (Dmitrii Krasheninnikov, Usman Anwar, University of Cambridge) 2025-04-15 15:00: In-Context Learning (Yashar Ahmadian; Nandini Shiralkar) 2025-05-06 15:00: The successor representation, its neural substrate, and behavioural consequences. (Puria Radmard; Daniel Kornai) 2025-05-13 14:00: Quantifying individuality in neural circuit representations (Alex Williams (NYU)) 2025-05-16 14:00: Connectome-based Echo State Networks (James McAllister (Ulster)) 2025-05-21 11:00: Evaluating and Regulating Foundation Models (Miri Zilka, Neel Alex, Shoaib Ahmed Siddiqui, University of Cambridge) 2025-05-27 11:00: Dendrites, Synaptic Plasticity and Hippocampal Place Fields​ (Carl Ashworth; Saeyeon Kwon) 2025-05-28 11:00: Conditional Expectation and Machine Learning (Eugene Wong(UC Berkeley and Clare Hall, Cambridge)) 2025-06-03 11:00: Discovering reward-guided learning strategies from large-scale datasets (Kimberly Stachenfeld (DeepMind, Columbia)) 2025-06-10 11:00: Context, Computation, and Continuity: Neural Mechanisms of Memory and Decision-Making (Máté Lengyel; Guillaume Hennequin) 2025-06-10 11:00: Context, Computation, and Continuity: Neural Mechanisms of Memory and Decision-Making (Máté Lengyel; Guillaume Hennequin) 2025-06-11 11:00: Vision-language models (VLMs) (Varun Jain (University of Cambridge)) 2025-06-11 11:00: Vision-language models (VLMs) (Varun Jain (University of Cambridge)) 2025-06-12 11:00: Variational Uncertainty Decomposition for In-Context Learning (Yingzhen Li (Imperial College London)) 2025-06-12 11:00: Variational Uncertainty Decomposition for In-Context Learning (Yingzhen Li (Imperial College London)) 2025-06-17 11:00: Multitasking and compositionality in brain and in neural networks (Alexander Rivkind; Ishan Kalburge) 2025-06-18 11:00: The structure of curvature in neural networks (Alberto Bernacchia (MediaTek Research UK)) 2025-08-06 16:30: Statistics Clinic Summer 2025 II (Speaker to be confirmed) 2025-09-16 13:15: The Fruit Fly Connectome and Beyond (Yijie Yin; Saeyeon Kwon) 2025-09-23 13:15: Cerebellum Computation (Carl Ashworth; Youjing Yu) 2025-10-21 13:15: Thalamocortical Interactions for Flexible Cognition (Rui Xia; Daniel Kornai) 2025-10-22 11:00: An Introduction to Stochastic Interpolants (Professor Jose Miguel Hernandez Lobato and Fran Castro) 2025-10-29 11:00: Diffusion Language Models (Julianna Piskorz (University of Cambridge)) 2025-10-29 16:00: From Data to Models to Understanding: Evaluating Neural Latents and Finding Decision Boundaries in Recurrent Neural Networks (RNNs) (Kabir Dabholkar, Technion - Israel Institute of Technology) 2025-11-05 11:00: A Tutorial on Algorithmic Information Theory in Modern ML (Szilvia Ujvary, Arik Reuter, Xianda Sun (University of Cambridge)) 2025-11-11 13:15: Neural basis of decision making (Guillaume Hennequin ( University of Cambridge); Robert Crossen) 2025-11-18 13:15: Lazy-rich learning (Dr Alexander Rivkind; Ishan Kalburge) 2025-11-18 13:15: Lazy-rich learning (Dr Alexander Rivkind; Ishan Kalburge) 2025-11-19 11:00: Neural Operators for Scientific Simulation (Luca Ghafourpour (University of Cambridge)) 2025-11-26 11:00: Variational Inference: An Algorithm-Centric Perspective (Kyurae Kim (University of Pennsylvania)) 2025-12-02 13:15: Tiny & Gigantic Neural Networks (Puria Radmard; Nicolas Anguita) 2025-12-12 14:30: How does gradient descent work? (Jeremy Cohen (Flatiron)) 2026-01-22 14:30: Frugal computation (Xaq Pitkow (CMU)) 2026-01-29 09:00: Infinite Hidden Semi-Markov Models (Carl Ashworth; Vince Velkey) 2026-02-03 09:00: Mind-body dualism: A perceptual core (Ehud Ahissar, Weizmann Institute for Science) 2026-02-12 09:00: Compositional Generalization and Learning (Rui Xia; Daniel Kornai) 2026-02-26 09:00: Multiplexed representations of decision content and uncertainty in visual processin (Dominik Straub; Ishan Kalburge) 2026-03-09 16:00: Rethinking aleatoric and epistemic uncertainty (Freddie Bickford Smith (University of Oxford)) 2026-03-11 11:00: Machine Learning on Tabular Data (Arik Reuter and John Bronskill (University of Cambridge)) 2026-03-18 11:00: Evolution Strategies at the Hyperscale (Bidipta Sarkar (University of Oxford)) 2026-03-18 11:00: Evolution Strategies at the Hyperscale (Bidipta Sarkar (University of Oxford)) 2026-03-24 15:00: From Stochastic Interpolants to Flow Maps: Foundations, Fast Generation, and Applications to Weather & Climate Modeling (Abbas Mammadov (University of Oxford)) 2026-03-26 09:00: Hippocampal neuronal activity is aligned with action plans (Changmin Yu)