Rachel Furner

Name:	Rachel Furner
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Fri May 03 10:08:34 +0000 2024

Public lists managed by Rachel Furner

• CCIMI Short Course: Mathematics of Data - From Theory to Computation
• CCIMI Short course: First-order methods for large scale optimisation problems
• CCIMI short course: Quantum Computing - Theory and Practice
• CMIH short course: Image Reconstruction in Biomedical Imaging
• CRUK CI Light Microscopy Course
• Short Course: Higher order regularisation in imaging

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 e-mail 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.

• AI4ER-CEDSG group meeting: Machine Learning Approaches to Assessing Future Flood Risk
• AI4ER-CEDSG group meeting
• TBC
• AI4ER-CEDSG group meeting
• AI4ER-CEDSG group meeting
• *Cancelled* - AI4ER-CEDSG 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
• First-order methods for large scale optimisation problems - Additional large-scale algorithms
• First-order methods for large scale optimisation problems - Modern first-order methods for structured convex problems
• First-order methods for large scale optimisation problems - Convex optimization problems and optimality
• First-order methods for large scale optimisation problems - Convex analysis
• Optimisation methods for Bayesian inference: Application to high dimensional inverse problems
• Multi-modal 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
• Super-resolution 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
• Title to be confirmed
• Theory for local optima of nonconvex high-dimensional M-estimators
• 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 derivative-based regularisation. Short Course: Higher order regularisation in imaging - Lecture 1
• CCIMI Student Video Contest
• Challenges in global analysis of high-resolution volumes: complete vasculature estimation and detailed multi-organ labelling
• Randomised dimensionality reduction for persistent homology
• Tensors, Tumours and Vitreous Humours - the Secret Mathematical Life of a Neuro-oncologist
• 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 mixed-type data with an application to "fine-mapping" 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, data-driven disease progression modelling, and other topics at UCL-CMIC
• 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
• Title to be confirmed
• Energy methods for the geodesic X-ray transform
• A macroscopic limit for an ecology model.
• STORM: Stochastic Trust Region Framework with Random Models
• Title to be confirmed
• Practical Bayesian modelling: Populism, polls, and petitions.
• From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming
• Title to be confirmed
• Advancing Medicine through Data Science, Machine Learning and Artificial Intelligence
• Title to be confirmed
• Applications of numerical algebraic geometry
• Flux and context-dependent graphs for metabolic networks
• Title to be confirmed
• 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 rapidly-varying big data time series--from deconvolution to a new form of time series model
• Phaseless super-resolution using masks
• Effective inversion of the attenuated X-ray transform associated with a connection.
• Free Boundaries and Price Formation in Economic Markets