
Rachel Furner
Name:  Rachel Furner 
Affiliation:  University of Cambridge 
Email:  (only provided to users who are logged into talks.cam) 
Last login:  Wed Oct 09 12:19:05 +0000 2019 
Public lists managed by Rachel Furner
Talks given by Rachel Furner
Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's email was specified in a talk. Most talks have not done this.
Talks organised by Rachel Furner
This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Rachel Furner actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.
 AI4ERCEDSG group meeting
 TBC
 AI4ERCEDSG group meeting
 TBC
 AI4ERCEDSG group meeting
 TBC
 AI4ERCEDSG group meeting
 *Cancelled*  AI4ERCEDSG group meeting
 The Silver Lining of Clustering: Finding Boundaries in the Southern Ocean
 *Cancelled*
 Using machine learning to make skillful predictions of the wintertime North Atlantic Oscillation
 Subgrid Scale Information: Separating Urban and Rural Ozone
 *Cancelled*
 Ushnish Sengupta, Listening for instabilities with probabilistic machine learning
 CEDSG group meeting  cancelled
 CEDSG group meeting  discussion on Sonnewald, Wunsch, Heimbach 2019
 CEDSG group meeting
 CEDSG group meeting  discussion on Dueben and Bauer 2018
 CEDSG group meeting  Petr Doležal will discuss his part III project
 CEDSG group meeting
 CEDSG group meeting  Risa and Robert discussing downscaling
 Title to be confirmed
 CEDSG group meeting
 CEDSG group meeting  Paper discussion: Bolton and Zanna 2019
 CEDSG group meeting
 CEDSG group meeting
 CEDSG group meeting
 Cancelled  CEDSG group meeting
 CEDS group meeting
 Methods to model and segment novel metabolic imaging in humans
 Firstorder methods for large scale optimisation problems  Additional largescale algorithms
 Firstorder methods for large scale optimisation problems  Modern firstorder methods for structured convex problems
 Firstorder methods for large scale optimisation problems  Convex optimization problems and optimality
 Firstorder methods for large scale optimisation problems  Convex analysis
 Optimisation methods for Bayesian inference: Application to high dimensional inverse problems
 Multimodal Image Processing: Data Models, Algorithms, and Applications
 Relevance Forcing: More Interpretable Neural Networks through Prior Knowledge
 Spectral rigidity of the round Earth
 Reconciling Bayesian Regularization And Total Variation Regularization  CCIMI colloquium
 Landauer's Principle in Repeated Interaction Systems
 Undecidability in Quantum Physics: Hilbert’s Second and Sixth Problems Meet
 Imaging the Molecular Pathology of Alzheimer’s disease
 Quantum conditional mutual information
 Multipartite SLOCC and LOCC transformations
 Quantum Computing  Theory and Practice: Quantum algorithms, quantum noise and quantum operations
 Quantum Computing  Theory and Practice: The Qubit and Quantum computation
 Quantum Computing  Theory and Practice: Introduction and overview
 Superresolution Imaging
 STORM and 4Pi Imaging
 Volumetric Imaging
 Light Sheet Microscopy
 The Mesolens: development and use for cell and tissue microscopy
 The National Digital Pathology Service for Renal Transplantation: automated image assessment?
 Constrained convex minimization, Part 2
 Stochastic gradient & Random coordinate descent methods  Part 3
 Stochastic gradient & Random coordinate descent methods  Part 2
 Stochastic gradient & Random coordinate descent methods  Part 1
 Constrained convex minimization  Part 3
 Constrained convex minimization  Part 2
 Constrained convex minimization  Part 1
 Fundamental concepts in convex analysis
 Variable metric methods
 Review of basic probability theory
 Unconstrained smooth minimization
 Introduction to convex optimization and iterative methods
 Learning clinically useful information from medical images
 Theory for local optima of nonconvex highdimensional Mestimators
 Deep supervised level set method: an approach to fully automated segmentation of cardiac MR images in patients with pulmonary hypertension
 Bregman distances in frequentist inverse problems
 Intraoperative molecular imaging
 Semper Citius: Towards Dynamic Photoacoustic Imaging
 Bayesian Probabilistic Numerical Methods
 Applications and extensions. Short Course: Higher order regularisation in imaging  Lecture 3
 Total Generalised Variation regularisaton for linear inverse problems. Short Course: Higher order regularisation in imaging  Lecture 2
 Functions of bounded variation and derivativebased regularisation. Short Course: Higher order regularisation in imaging  Lecture 1
 CCIMI Student Video Contest
 Challenges in global analysis of highresolution volumes: complete vasculature estimation and detailed multiorgan labelling
 Randomised dimensionality reduction for persistent homology
 Tensors, Tumours and Vitreous Humours  the Secret Mathematical Life of a Neurooncologist
 Image Reconstruction in Biomedical Imaging: Multimodality imaging
 Image Reconstruction in Biomedical Imaging: Motion correction in dynamic imaging
 Image Reconstruction in Biomedical Imaging: Dynamic and spectral imaging
 Image Reconstruction in Biomedical Imaging: Variational regularization methods
 Image Reconstruction in Biomedical Imaging: Introduction and overview part 2
 Image Reconstruction in Biomedical Imaging: Introduction and overview part 1
 Applying deep convolutional neural networks to medical imaging data
 Seemingly Unrelated Regression models for mixedtype data with an application to "finemapping" in genetics
 On the long time stability of travelling wave for the discrete nonlinear Schroedinger equations
 Seeing beyond the visible: Segmentation of medical images using deep neural networks
 Microstructure imaging with MRI, datadriven disease progression modelling, and other topics at UCLCMIC
 Exceptional orthogonal polynomials
 CCIMI special lecture: Mathematics Enters the Picture
 Learning and Sparse Control of Multiagent Systems
 Experimental Medicine Imaging in Pharmaceutical Research  GSK clinical imaging overview and opportunities for collaboration
 Energy methods for the geodesic Xray transform
 A macroscopic limit for an ecology model.
 STORM: Stochastic Trust Region Framework with Random Models
 Practical Bayesian modelling: Populism, polls, and petitions.
 From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming
 Advancing Medicine through Data Science, Machine Learning and Artificial Intelligence
 Applications of numerical algebraic geometry
 Flux and contextdependent graphs for metabolic networks
 Estimation in the Ising blockmodel
 MRI: How can we help each other?
 A new perspective from Information Theory on genetic sequences
 Quantum Dots and Dislocations: Dynamics of Materials Defects
 Inferring rapidlyvarying big data time seriesfrom deconvolution to a new form of time series model
 Phaseless superresolution using masks
 Effective inversion of the attenuated Xray transform associated with a connection.
 Free Boundaries and Price Formation in Economic Markets
