Yee Whye Teh

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Citations	56477	36180
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Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
Simon OsinderoPrincipal Scientist (Director) @ DeepMindVerified email at google.com
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk
Nicolas HeessDeepMindVerified email at google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Jonathan Richard SchwarzHarvard UniversityVerified email at hms.harvard.edu
Balaji LakshminarayananSenior Staff Research Scientist at Google DeepMindVerified email at google.com
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
Hyunjik KimResearch Scientist, DeepMindVerified email at google.com
Andriy MnihResearch Scientist at Google DeepMindVerified email at cs.toronto.edu
Adam R. KosiorekResearch Scientist, DeepMindVerified email at google.com
Stefano FavaroUniversity of Torino and Collegio Carlo AlbertoVerified email at unito.it
Dilan GorurDeepMindVerified email at google.com
Emile MathieuPostdoctoral Research Associate, University of CambridgeVerified email at cam.ac.uk
Wojciech Marian Czarnecki.Verified email at google.com

Yee Whye Teh

Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind

Verified email at stats.ox.ac.uk - Homepage

Machine Learning Artificial Intelligence Statistics Computer Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A fast learning algorithm for deep belief nets GE Hinton, S Osindero, YW Teh Neural computation 18 (7), 1527-1554, 2006	20479	2006
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. YW Teh, MI Jordan, MJ Beal, DM Blei NIPS, 2005	5248	2005
Bayesian Learning via Stochastic Gradient Langevin Dynamics M Welling, YW Teh ICML, 2011	2559	2011
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh ICLR, 2017	2388	2017
Set transformer J Lee, Y Lee, J Kim, AR Kosiorek, S Choi, YW Teh International Conference on Machine Learning 2019. arXiv:1810.00825, 2018	989*	2018
Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), eabd9338, 2021	878	2021
A fast and simple algorithm for training neural probabilistic language models A Mnih, YW Teh arXiv preprint arXiv:1206.6426, 2012	848	2012
On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh arXiv preprint arXiv:1205.2662, 2009	800	2009
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation Y Teh, D Newman, M Welling Advances in neural information processing systems 19, 2006	798	2006
Progress & Compress: A scalable framework for continual learning J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ... ICML2018 arXiv:1805.06370, 2018	748	2018
Dirichlet Process. YW Teh Encyclopedia of machine learning 1063, 280-287, 2010	703	2010
A hierarchical Bayesian language model based on Pitman-Yor processes YW Teh Proceedings of the 21st International Conference on Computational …, 2006	691	2006
Do Deep Generative Models Know What They Don't Know? E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan ICLR2019, 2018	661	2018
Conditional Neural Processes M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ... ICML2018 arXiv:1807.01613, 2018	629	2018
Distral: Robust multitask reinforcement learning YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ... NIPS2017, 2017	554	2017
Names and faces in the news TL Berg, AC Berg, J Edwards, M Maire, R White, YW Teh, ... Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	543	2004
Augmented neural odes E Dupont, A Doucet, YW Teh NeurIPS 2019; arXiv:1904.01681, 2019	534	2019
Neural processes M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ... ICML2018 Bayesian Deep Learning Workshop arXiv:1807.01622, 2018	508	2018
Hierarchical Bayesian nonparametric models with applications YW Teh, MI Jordan Bayesian nonparametrics 1, 158-207, 2010	436	2010
Attentive Neural Processes H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ... ICLR2019, 2018	363	2018

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