Yee Whye Teh

引用次数

	总计	2018 年至今
引用	56342	36058
h 指数	80	67
i10 指数	206	177

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Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of Amsterdam在 uva.nl 的电子邮件经过验证
Geoffrey HintonEmeritus Prof. Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
Simon OsinderoPrincipal Scientist (Director) @ DeepMind在 google.com 的电子邮件经过验证
Razvan PascanuResearch Scientist at Google DeepMind在 google.com 的电子邮件经过验证
Tom RainforthUniversity of Oxford在 stats.ox.ac.uk 的电子邮件经过验证
Nicolas HeessDeepMind在 google.com 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMind在 stats.ox.ac.uk 的电子邮件经过验证
Chris J. MaddisonUniversity of Toronto在 cs.toronto.edu 的电子邮件经过验证
Jonathan Richard SchwarzHarvard University在 hms.harvard.edu 的电子邮件经过验证
Balaji LakshminarayananSenior Staff Research Scientist at Google DeepMind在 google.com 的电子邮件经过验证
Yarin GalAssociate Professor, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Frank WoodUniversity of British Columbia在 cs.ubc.ca 的电子邮件经过验证
Hyunjik KimResearch Scientist, DeepMind在 google.com 的电子邮件经过验证
Andriy MnihResearch Scientist at Google DeepMind在 cs.toronto.edu 的电子邮件经过验证
Adam R. KosiorekResearch Scientist, DeepMind在 google.com 的电子邮件经过验证
Stefano FavaroUniversity of Torino and Collegio Carlo Alberto在 unito.it 的电子邮件经过验证
Dilan GorurDeepMind在 google.com 的电子邮件经过验证
Emile MathieuPostdoctoral Research Associate, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Wojciech Marian Czarnecki.在 google.com 的电子邮件经过验证

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Yee Whye Teh

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

在 stats.ox.ac.uk 的电子邮件经过验证 - 首页

Machine Learning Artificial Intelligence Statistics Computer Science


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A fast learning algorithm for deep belief nets GE Hinton, S Osindero, YW Teh Neural computation 18 (7), 1527-1554, 2006	20460	2006
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. YW Teh, MI Jordan, MJ Beal, DM Blei NIPS, 2005	5241	2005
Bayesian Learning via Stochastic Gradient Langevin Dynamics M Welling, YW Teh ICML, 2011	2549	2011
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh ICLR, 2017	2381	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	987*	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	875	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	796	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	744	2018
Dirichlet Process. YW Teh Encyclopedia of machine learning 1063, 280-287, 2010	704	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	656	2018
Conditional Neural Processes M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ... ICML2018 arXiv:1807.01613, 2018	626	2018
Distral: Robust multitask reinforcement learning YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ... NIPS2017, 2017	552	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	529	2019
Neural processes M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ... ICML2018 Bayesian Deep Learning Workshop arXiv:1807.01622, 2018	504	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	362	2018

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