基本信息
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Career Trajectory
Bio
David Duvenaud is an assistant professor in computer science and statistics at the University of Toronto. He holds a Canada Research Chair in generative models. His postdoctoral research was done at Harvard University, where he worked on hyperparameter optimization, variational inference, and chemical design. David spent two summers in the machine vision team at Google Research, and also co-founded Invenia, an energy forecasting and trading company.
Research Interests
Papers共 94 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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ICLR 2024 (2024)
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Evan Hubinger,Carson Denison,Jesse Mu, Mike Lambert,Meg Tong,Monte MacDiarmid,Tamera Lanham,Daniel M. Ziegler, Tim Maxwell,Newton Cheng,Adam Jermyn,Amanda Askell,Ansh Radhakrishnan,Cem Anil,David Duvenaud,Deep Ganguli,Fazl Barez,Jack Clark,Kamal Ndousse,Kshitij Sachan,Michael Sellitto,Mrinank Sharma,Nova DasSarma,Roger Grosse,Shauna Kravec,Yuntao Bai, Zachary Witten,Marina Favaro,Jan Brauner, Holden Karnofsky,Paul Christiano,Samuel R. Bowman, Logan Graham,Jared Kaplan,Sören Mindermann,Ryan Greenblatt,Buck Shlegeris,Nicholas Schiefer,Ethan Perez
arXiv (Cornell University) (2024)
arXiv (Cornell University) (2023)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) (2023)
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151 (2022): 7742-7765
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Dagstuhl Reportsno. 8 (2022): 20-30
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Author Statistics
#Papers: 94
#Citation: 24236
H-Index: 39
G-Index: 77
Sociability: 5
Diversity: 2
Activity: 41
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