Yee Whye Teh is affiliated with the University of Oxford in the United Kingdom and specializes in computer science, with a focus on artificial intelligence and related subfields. Their work spans multiple areas, including deep learning, statistical modeling, and Bayesian inference.
Their research contributions cover a range of topics, including:
Yee Whye Teh has published extensively in venues such as:
Some of their recent papers include:
The scientist collaborates frequently with several coauthors, including:
Their main contributions lie in advancing the domains of artificial intelligence and machine learning through both theoretical and applied work, frequently intersecting with epidemiological studies during the COVID-19 pandemic. Their publication record reflects a focus on statistical and computational methods for understanding complex systems.
Geoffrey E. Hinton;Simon Osindero;Yee-Whye Teh
Yee W. Teh;Michael I. Jordan;Matthew J. Beal;David M. Blei
Max Welling;Yee W. Teh
Chris J. Maddison;Andriy Mnih;Yee Whye Teh
Yee W. Teh;David Newman;Max Welling
Arthur Asuncion;Max Welling;Padhraic Smyth;Yee Whye Teh
Yee Whye Teh
Juho Lee;Yoonho Lee;Jungtaek Kim;Adam R. Kosiorek
Andriy Mnih;Yee W. Teh
T.L. Berg;A.C. Berg;J. Edwards;M. Maire
Yee Whye Teh;Michael I. Jordan
Eric T. Nalisnick;Akihiro Matsukawa;Yee Whye Teh;Dilan Görür
Yee Whye Teh;Victor Bapst;Wojciech Marian Czarnecki;John Quan
Jonathan Schwarz;Jelena Luketina;Wojciech M. Czarnecki;Agnieszka Grabska-Barwinska
Jonathan Schwarz;Wojciech Czarnecki;Jelena Luketina;Agnieszka Grabska-Barwinska
Jurgen Van Gael;Yunus Saatci;Yee Whye Teh;Zoubin Ghahramani
Unknown
Yee Whye Teh;Dilan Görür;Zoubin Ghahramani
Nenad Tomašev;Julien Cornebise;Frank Hutter;Frank Hutter;Shakir Mohamed
Yee Whye Teh;Matthias W. Seeger;Michael I. Jordan
Emilien Dupont;Arnaud Doucet;Yee Whye Teh
Marta Garnelo;Jonathan Schwarz;Dan Rosenbaum;Fabio Viola
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