talks.cam

👤 Dr Peter Wothers Teaching Fellow, Dept. Chemistry, Cambridge Prof. Chris Ponting MRC, Oxford Professor of Genomics, MSc Physics Prof. Hasok Chang History and Philosophy of Science, Cambridge Prof. John Ockendon Oxford Centre for Industrial and Applied

Batyrev Mirror Symmetry

👤 Danil Kozevnikov, University of Edinburgh

Bawls, balls and brains: primate vocal communication and the evolution of speech

👤 Jacob Dunn (Anglia Ruskin University)

Baxter equations for super Yang-Mills theories

👤 Belitsky, A (Arizona State)

Baxterising using conserved currents

👤 Paul Fendley (University of Oxford)

Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

👤 James Scott, Duke University

Bayes and the Blame Game: What I learned from presenting Bayesian reasoning in criminal cases

👤 Frans Alkemade (None / Other)

Bayesian Adaptive Design for State-space Models with Covariates

👤 Sahu, S (Southampton)

Bayesian Adaptive Inference and Adaptive Training

👤 Rogier van Dalen and Christian Steinruecken

Bayesian Adaptive Randomisation Revisited

👤 Grieve , A (Aptiv Solutions)

Bayesian Agglomerative Clustering with Coalescents

👤 Sinead Williamson (University of Cambridge)

Bayesian Alignment of Unlabelled Marked Point Sets Using Random Fields

👤 Ian Dryden, University of Nottingham

Bayesian analyses of galaxy surveys

👤 Florent Leclercq(Imperial College)

Bayesian Analysis and Analytic Continuation of Scattering Amplitudes from Lattice QCD

👤 Miguel Salg (U. Bern, AEC)

Bayesian analysis and computation for convex inverse problems: theory, methods, and algorithms

👤 Marcelo Pereyra (Heriot-Watt University)

Bayesian Analysis approaches for meta-analysis of Genetic Association data

👤 John Whittaker, Head of Genetics Method Development, GSK

Bayesian analysis of Bianchi VII_h signatures in the CMB - CANCELLED

👤 Michael Bridges, Cavendish Astrophysics

Bayesian analysis of complex biological systems

👤 Dr Edo Airoldi (Princeton)

Bayesian analysis of object data using Top Space and Quotient Space models

👤 Ian Dryden (University of Nottingham)

Bayesian and structural integration of background evidence in the design, analysis and interpretation of clinical trial data

👤 Fabio Rigat (GSK) & Nicky Best (Imperial College)

Bayesian anomaly detection for Cosmology - 21cm, Supernovae, and beyond

👤 Samuel Leeney (University of Cambridge)

Bayesian approach and Naturalness in MSSM forecast for the LHC

👤 Maria Cabrera (Universidad Autónoma de Madrid)

Bayesian approaches for wind gust and quantitative precipitation forecasting

👤 Friederichs, P (Universitt Bonn)

Bayesian approaches to autonomous Bayesian real-time learning

👤 Jo-Anne Ting (University of Southern California)

Bayesian approaches to Phase I clinical trials: methodological and practical aspects

👤 Neuenschwander, B (Novartis Pharma AG)

Bayesian approximation for physical inverse problems

👤 Debasish Roy

Bayesian Argumentation in the Real World

👤 Ulrike Hahn (University of London)

Bayesian brains, emotions and psychopathology

👤 Dr Alje van Hoorn

Bayesian Brains Without Probabilities

👤 Prof Adam Sanborn, University of Warwick

Bayesian Brains Without Probabilities

👤 Prof Adam Sanborn, University of Warwick

Bayesian calibration, history matching and model discrepancy

👤 Jeremy Oakley (University of Sheffield)

Bayesian calibration, history matching and model discrepancy

👤 Jeremy Oakley (University of Sheffield)

Bayesian Calibration of Computer Model Ensembles

👤 Pratola, M (Los Alamos National Laboratory)

Bayesian canonical correlation analysis

👤 Seppo Virtanen (Aalto University)

Bayesian Clustering with the Dirichlet-Process Prior

👤 Dr. Audrey Q Fu, Department of Physiology, Development and Neuroscience

Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting

👤 Ana Sofía Uzsoy (Harvard)

Bayesian computation for partially observed S(P)DEs

👤 Frank van der Meulen (Vrije Universiteit Amsterdam)

Bayesian Computation Without Tears: Probabilistic Programming and Universal Stochastic Inference

👤 Vikash Mansinghka, MIT

Bayesian coresets

👤 Tor Fjelde and Will Tebbutt, University of Cambridge

Bayesian Cosmological Parameter Inference from Supernovae Type Ia data

👤 Marisa March (Imperial College)

Bayesian deep learning

👤 Yarin Gal (Oxford)

Bayesian Deep Learning for Galaxy Classification

👤 Anna Scaife (University of Manchester)

Bayesian Deep Learning: From Reliable Neural Networks to Interpretable Foundation Models

👤 Hao Wang - Rutgers University

Bayesian Deep Learning to Predict Air Pollution & Personalized Air Pollution Monitoring and Health Management

👤 Victor O.K. Li & Jacqueline CK Lam, The University of Hong Kong

Bayesian discovery of mechanics and signaling during collective cell migration

👤 Simon Martina Perez (University of Oxford)

Bayesian dynamic modelling of network flows

👤 Mike West (Duke University)

Bayesian enrichment strategies for randomized discontinuation trials

👤 Rosner, G (Johns Hopkins)

Bayesian ERGMs -- computational and modelling challenges

👤 Alberto Caimo (Dublin Institute of Technology)

Bayesian estimation for multi-object systems

👤 Dr. Jeremie Houssineau, Heriot-Watt University

Bayesian estimation of neuronal connectivity from MEA recordings

👤 Fabio Rigat

Bayesian estimation of the mean response in a missing data model

👤 Kolyan Ray (King's College London)

Bayesian evidence synthesis to estimate progression of human papillomavirus

👤 Jackson, C (MRC Biostats)

Bayesian experimental design for percolation and other random graph models

👤 Bejan, A (University of Cambridge)

Bayesian experimental design for stochastic dynamical models

👤 Gibson, GJ (Heriot-Watt University)

Bayesian Experimental Design: Principles and Computation

👤 Desi Ivanova (University of Oxford)

Bayesian Experimental Design: Principles and Computation

👤 Desi Ivanova (University of Oxford)

Bayesian explanationism

👤 Stephan Hartmann (MCMP, LMU Munich)

Bayesian factorization of multiple data sources

👤 Professor Samuel Kaski, Professor of Computer Science, Aalto University

Bayesian feature tracking and head pose estimation

👤 Carl Scheffler (University of Cambridge)

Bayesian Fusion of Hyperspectral and Multispectral images

👤 Qi Wei, University of Toulouse

Bayesian Game Tree Search with an Application to the Game of Go

👤 David Stern (Cavendish Astrophysics)

Bayesian Gaussian process models for multi-sensor time-series prediction

👤 Roberts, S (Oxford)

Bayesian Generative Adversarial Networks

👤 Professor Andrew Wilson, Cornell University

Bayesian Generative Adversarial Networks

👤 Andrew Wilson, Cornell University

Bayesian head pose estimation

👤 Carl Scheffler (University of Cambridge)

Bayesian Hierarchical Community Discovery

👤 Yee Whye Teh (University of Oxford; The Alan Turing Institute)

Bayesian hierarchical models and recent computational development using Integrated Nested Laplace Approximation, with applications to pre-implantation genetic screening in IVF

👤 Gianluca Baio, University College, London

Bayesian Identification of Global 21cm Signal Depth Origin

👤 Dominic Anstey, University of Cambridge

Bayesian imaging with deep generative priors

👤 Marcelo Pereyra (Heriot-Watt University)

Bayesian Inductive Programming

👤 R J Henderson (Edinburgh)

Bayesian inference accounts for a novel psychophysical effect in face perception

👤 Jonathan O’Keeffe (Cognition and Brain Sciences Unit)

Bayesian Inference and its Applications

👤 Maria Rosario Mestre, Signal Processing and Communications Laboratory, Department of Engineering, University of Cambridge

Bayesian inference and machine learning in cosmology and particle physics

👤 Professor Mike Hobson, Astrophysics Group, Cavendish Laboratory

Bayesian inference and primary visual cortex: An introduction

👤 Richard Turner (Department of Engineering)

Bayesian Inference and Traffic Analysis

👤 Carmela Troncoso, Microsoft Research Cambridge/KU Leuven(COSIC)

Bayesian inference and uncertainty quantification in non-linear inverse problems with Gaussian priors

👤 Katerina Papagiannouli (Max Planck Institute for Mathematics in the Sciences)

Bayesian inference for compartmented epidemiological models with imperfect surveillance

👤 Patrick Pietzonka, DAMTP

Bayesian Inference for Diffusions using Data Augmentation MCMC

👤 Dr Kostas Kalogeropoulos, CUED

Bayesian inference for exponential random graphs

👤 Prof Nial Friel, Associate Professor in Statistics, University College Dublin

Bayesian inference for exponential random graphs - POSTPONED DUE TO TRAVEL DIFFICULTIES

👤 Nial Friel, Associate Professor of Statistics, University College Dublin

Bayesian inference for integer-valued Lévy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modelling

👤 Andrea Cremaschi (Kent)

Bayesian Inference for Intractable Simulators: Opportunities and Pitfalls in the Era of Machine Learning

👤 Sebastian Schmon (University of Durham)

Bayesian inference for mapping society's use of materials

👤 Dr Rick Lupton, CUED

Bayesian inference for Markov processes with application to biochemical network dynamics

👤 Darren Wilkinson, University of Newcastle

Bayesian inference for sparsely observed diffusions

👤 Golightly, A (Newcastle University)

Bayesian inference for stochastic epidemic models in structured populations based on final outcome data

👤 Philip O'Neill, University of Nottingham

Bayesian inference in continuous time jump processes

👤 Godsill, S (University of Cambridge)

Bayesian inference in infinite dimensions

👤 Aad van der Vaart (Delft)

Bayesian Inference in Networks of Queues

👤 Dr Charles Sutton (Edinburgh)

Bayesian inference of a non-local proliferation model

👤 Zuzanna Szymańska (University of Warsaw)

Bayesian inference of genetic epistasis in case-control studies

👤 Professor Jun Liu (Harvard)

Bayesian Inference of Transmission Fidelity Rates of DNA Methylation Patterns

👤 Audrey Fu (University of Cambridge Systems Biology Center)

Bayesian Inference Tutorial

👤 Jeremias Knoblauch (University College London)

Bayesian Inference Tutorial

👤 Jeremias Knoblauch (University College London)

Bayesian Inference using Generative Models

👤 John Liechty (Pennsylvania State University)

Bayesian Inference with Kernels

👤 UCL

Bayesian Inference with Kernels

👤 Dr Arthur Gretton (UCL)

Bayesian Inference with Kernels

👤 Arthur Gretton, UCL

Bayesian inference with probabilistic population codes

👤 Alexandre Pouget, University of Rochester

Bayesian integration in sensorimotor learning

👤 Keith Vertanen (University of Cambridge)

Bayesian intelligent structural health monitoring

👤 Dr Sn-Chi Kuok, Academic Visitor, Department of Engineering Science at University of Oxford

Bayesian Inverse Problems with Denoising Diffusion Prior

👤 Eric François Moulines (Ecole Polytechnique Paris)

Bayesian inversion for tomography through machine learning

👤 Ozan Öktem (KTH Stockholm and Alan Turing Institute)

Bayesian learning and competitive price formation in insurance markets

👤 Angus Brown (Cambridge)

Bayesian Learning Approaches for Speech Recognition

👤 Professor Jen-Tzung Chien (National Cheng Kung University, Taiwan)

Bayesian Learning for Visual Inference

👤 Ollie Williams

Bayesian learning of visual chunks by human observers

👤 Dr Mate Lengyel (University of Cambridge)

Bayesian Machine Learning for Controlling Autonomous Systems

👤 Marc Deisenroth, Imperial College

Bayesian Machine Learning for Controlling Autonomous Systems

👤 Marc Deisenroth, Imperial College

Bayesian meta-analysis of genetic association studies using Stata

👤 John Thompson, Department of Health Sciences, University of Leicester

Bayesian Methods for Networks

👤 Peter Hoff (University of Washington)

Bayesian methods in cosmology

👤 Michael Hobson (University of Cambridge)

Bayesian Methods in Cosmology

👤 Mike Hobson (Cambridge)

Bayesian model calibration for generalized linear models: An application in radiation transport

👤 Derek Bingham (Simon Fraser University)

Bayesian model calibration for generalized linear models: An application in radiation transport

👤 Derek Bingham (Simon Fraser University)

Bayesian Model Determination for Multivariate Ordinal and Binary Data

👤 Jon Forster (University of Southampton)

Bayesian modeling for high-level real nursing activity recognition using accelerometers

👤 Prof. Naonori Ueda (Director Machine Learning and Data Science, NTT Labs)

Bayesian modeling of networks in complex business intelligence problems

👤 Daniele Durante (Università degli Studi di Padova )

Bayesian modelling of Dupuytren disease using Gaussian copula graphical models

👤 Reza Mohammadi (Universiteit van Tilburg; University of Groningen)

Bayesian modelling of the interaction between long- and short-term memory

👤 Kristjan Kalm (MRC Cognition & Brain Science Unit)

Bayesian Models for Dependency Parsing Using Pitman-Yor Priors

👤 Hanna Wallach (University of Cambridge)

Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty

👤 Professor Stuart Russell (UC Berkeley)

Bayesian networks: challenges and opportunities in the law

👤 Norman Fenton (Queen Mary University of London)

Bayesian networks for probing complex biological and biology-adjacent systems

👤 Dr V Anne Smith, School of Biology, University of St Andrews

Bayesian networks for the evaluation of evidence when attributing paintings to painters

👤 Jacob de Zoete (Universiteit van Amsterdam)

Bayesian network structure learning from uncertain interventions

👤 Kevin Murphy, University of British Columbia

Bayesian Neural Networks

👤 James Allingham, Javier Antorán, Vincent Fortuin (University of Cambridge)

Bayesian non-parametric analysis of diffusions

👤 Gareth Roberts (Warwick)

Bayesian nonparametric dynamic-clustering and genetic imputation

👤 Lloyd Elliott (Gatsby Unit, UCL / Oxford)

Bayesian nonparametric estimation of the intensities in multivariate Hawkes processes

👤 Judith Rousseau (Oxford)

Bayesian nonparametric latent feature models

👤 Zoubin Ghahramani

Bayesian nonparametric latent feature models

👤 Ghahramani, Z (Cambridge)

Bayesian nonparametric methods for non-exchangeable data

👤 Nick Foti (Dartmouth College)

Bayesian Nonparametric Mixture Models

👤 Jurgen Van Gael, Engineering department, University of Cambridge

Bayesian Nonparametric Model for Power Disaggregation

👤 Isabel Valera (University Carlos III in Madrid)

Bayesian non-parametric models for parsing and translation

👤 Trevor Cohn, University of Sheffield

Bayesian nonparametrics: Dependency and Constraint Modeling

👤 Changyou Chen (ANU)

Bayesian Nonparametrics: Latent Feature and Prediction Models, and Efficient Inference

👤 Piyush Rai (University of Utah)

Bayesian nonparametrics with heterogeneous data

👤 Antonio Lijoi, University of Pavia

Bayesian Online Changepoint Detection

👤 Ryan Adams, Inference Group

Bayesian optimal design for Gaussian process model

👤 Maria Adamou (University of Southampton)

Bayesian optimal design for Gaussian process model

👤 Maria Adamou (University of Southampton)

Bayesian optimal design for ordinary differential equation models with application in biological science

👤 David Woods (University of Southampton)

Bayesian Optimisation for Extreme Responses in Engineering: Measuring and Reducing Uncertainty

👤 Sebastian Winter (DNV)

Bayesian Optimisation for Structures: Challenges and Recommendations

👤 Thomas Archbold, University of Cambridge

Bayesian optimisation in many dimensions with bespoke probabilistic programs

👤 Valentin Dalibart

Bayesian optimisation of nonlinear and imperfect structures

👤 Tianyi Liu (University of Cambridge)

Bayesian optimization: A framework for optimal computational effort for experimental design

👤 Winterfors, E (Ruprecht-Karls-Universitt Heidelberg)

Bayesian Optimization for Accelerated Exploration of Chemical Space

👤 José Miguel Hernández Lobato, University of Cambridge

Bayesian Optimization for Probabilistic Programs

👤 Tom Rainforth, University of Oxford

Bayesian optimization / Gaussian Process Bandits

👤 Sattar Vakili (MediaTek Research)

Bayesian Pattern Ranking for Move Prediction in the Game of Go

👤 David Stern, Inference Group, Cavendish Laboratory

Bayesian periodicity detection

👤 Tamara Broderick (University of Cambridge)

Bayesian Poisson Tensor Decomposition for International Relations

👤 Hanna Wallach (Microsoft (UK))

Bayesian preconditioning for truncated Krylov subspace regularization with an application to Magnetoencephalography (MEG)

👤 Somersalo, E (Case Western Reserve University)

Bayesian probabilistic numerical methods

👤 Tim Sullivan (Freie Universität Berlin; Konrad-Zuse-Zentrum für Informationstechnik Berlin)

Bayesian probabilistic numerical methods

👤 Tim Sullivan (Freie Universität Berlin; Konrad-Zuse-Zentrum für Informationstechnik Berlin)

Bayesian Probabilistic Numerical Methods

👤 Chris Oates (Newcastle University)

Bayesian Probabilistic Numerical Methods

👤 Chris Oates - Newcastle Universtity

Bayesian quadrature, energy minimization and kernel herding for space filling design

👤 Luc Pronzato (Université de Nice Sophia Antipolis; CNRS (Centre national de la recherche scientifique))

Bayesian quadrature, energy minimization and kernel herding for space filling design

👤 Luc Pronzato (Université de Nice Sophia Antipolis; CNRS (Centre national de la recherche scientifique))

Bayesian Quadrature for Multiple Related Integrals

👤 Francois-Xavier Briol (Imperial College London; University of Warwick; University of Oxford)

Bayesian Quadrature for Multiple Related Integrals

👤 Francois-Xavier Briol (Imperial College London; University of Warwick; University of Oxford)

Bayesian Quadrature for Prediction and Optimisation

👤 Michael Osborne, Oxford University

Bayesian Quadrature for Prediction and Optimisation

👤 Michael Osborne ( Oxford University)

Bayesian Ranking

👤 Ralf Herbrich, Microsoft Research Cambridge

Bayesian real-time epidemic monitoring of Covid-19

👤 Angelos Alexopoulos (MRC Biostatistics Unit)

Bayesian reconstruction of a spatially heterogeneous epidemic: Characterising the geographic spread of 2009 A/H1N1pdm infection in England

👤 Paul Birrell, MRC Biostatistics Unit

Bayesian reconstruction of free energy profiles from umbrella samples

👤 Thomas Stecher (Engineering)

Bayesian regression and classification with multivariate sparsifying priors

👤 Prof. Tom Heskes (Radboud University Nijmegen)

Bayesian regression discontinuity design with unknown cut-off

👤 Stephanie van der Pas (Vrije Universiteit Amsterdam)

Bayesian regression models for complex spatially or serially correlated functional data

👤 Jeffrey Morris, MD Anderson Cancer Center

Bayesian Reinforcement Learning

👤 Rowan McAllister & Karolina Dziugaite

Bayesian Reinforcement Learning

👤 Speaker to be confirmed

Bayesian Reinforcement Learning in Continuous POMDPs

👤 Milica Gasic (University of Cambridge

Bayesian seismology of the solar atmosphere

👤 Dr. Inigo Arregui (IAC)

Bayesian Selection of Regularisation Parameters: Theory, Methods and Algorithms

👤 Pereyra, M (University of Bristol)

Bayesian semiparametrics with Gaussian process priors

👤 Ismael Castillo (CNRS and Paris 6)

Bayesian Semi-supervised Multicategory Classification under Nonparanormality

👤 Subhashis Ghoshal (North Carolina State University)

Bayesian sequential design in matrix factorisation models

👤 Sergio Bacallado (University of Cambridge)

Bayesian sequential experiment design for quantum tomography

👤 Huszar, F (Engineering)

Bayesian Sets

👤 Speaker to be confirmed

Bayesian Smoothing for Language Models

👤 Yee Whye Teh, University College London

Bayesian State-Space Modelling on High-Performance Hardware Using LibBi

👤 Dr Lawrence Murray, CSIRO Australia

Bayesian statistical methods at the LHC (and elsewhere)

👤 Dr Glen Cowan (Royal Holloway)

Bayesians turn to experts for advice!

👤 Dr Steven de Rooij, Statistical Laboratory, University of Cambridge

Bayesians turn to Experts for Advice!

👤 Steven de Rooij (Cambridge)

Bayesian tangent space inference for stochastic epidemiological models

👤 Guenther Turk, DAMTP

Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution

👤 Edward Young (University of Cambridge)

Bayesian time-tree priors

👤 Drummond, AD (Auckland)

Bayesian Uncertainty Quantification for Differential Equations

👤 Girolami, M (University of Warwick)

Bayesian uncertainty quantification for recursive predictive algorithms

👤 Sonia Petrone (Bocconi University)

Bayesian Uncertainty Quantification in Alloy Modelling and Design

👤 Zabras, N (University of Warwick)

Bayesian variable selection in generalized linear models under cost constraints

👤 David Draper, University of California, Santa Cruz, USA

Bayesian Word Sense Induction

👤 Andreas Vlachos (University of Cambridge)

Bayesian Workflow

👤 Andrew Gelman (Columbia University)

Bayesian Workflow

👤 Andrew Gelman (Columbia University)

Bayes in the age of intelligent machines

👤 Professor Tom Griffiths - Princeton University

Bayes Nets for the evaluation of testimony

👤 Paolo Garbolino (IUAV University of Venice)

Bayes, not Naive: Security Bounds on Website Fingerprinting Defenses

👤 Giovanni Cherubin, Information Security Group (ISG), Royal Holloway, University of London

Bayes-optimal estimation in generalized linear models

👤 Ramji Venkataramanan, Department of Engineering, Cambridge

Bazarkh - A documentary about Chechenya

👤 Mantas Kvedaravicius

BBB study - Brachycephalic Breathing Brain

👤 Susana Monforte Monteiro, Department of Veterinary Medicine

BBC Arena at 40 - the past, present and future of public service broadcasting

👤 Speaker to be confirmed

BBC – Brain, Body and Consciousness

👤 Juliane Britz, University of Fribourg

BBC Pandemic, Haslemere Edition: Evaluating epidemic dynamics using fine-scale interpersonal distance data from mobile phones

👤 Stephen Kissler (DAMTP)

BBC Pandemic, National Edition

👤 Petra Klepac (DAMTP and LSHTM)

BBSRC Presentation - Pathways to Impact

👤 Dr Alf Game, Dr Gerald Owenson

B_c decays from highly improved staggered quarks and NRQCD

👤 Andrew Lytle (Glasgow University)

B cells, Antibodies and Atherosclerosis

👤 Dr. Andrew Sage, Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge

B-cells in Salmonella infections: Paradoxical findings that have revealed interesting stories

👤 Piero Mastroeni

BCJ duality, the double copy and the soft limit

👤 Chris White (University of Glasgow)

BCS-BEC crossover and polaron-to-molecule transition in strongly interacting Fermi gases.

👤 Matthias Punk, TU Munich

b->c semileptonic decays and phenomenology

👤 Andrew Lytle (INFN Roma Tor Vergata)

Bdelloid rotifers: unveiling the mystery of an evolutionary scandal

👤 Chiara Boschetti (University of Cambridge)