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职业迁徙
个人简介
My area of interest is probabilistic machine learning, deep learning, probabilistic programming (see pyro.ai), and their applications in fields as diverse as simulation, reinforcement learning, healthcare, biology, spatiotemporal modeling, vision, language, and large-scale economics (such as spatiotemporal markets, two-sided marketplaces, agent models, and agent behavior). Recently I have been particularly interested in scientific applications of probabilistic methods. An important focus of my work has been building systems that both quantify and consume uncertainty, and also are imbued with useful inductive biases. I seek to build robust, data-efficient models of complex systems that allow us to understand and control the world around us.
研究兴趣
论文共 41 篇作者统计合作学者相似作者
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arXiv (Cornell University)no. 4 (2024): 1123-1133
Rahul Atmaramani, Tommaso Dreossi, Kevin Ford, Lin Gan,Jana Mitchell, Shenjiang Tu, Jeevaa Velayutham, Haoyang Zeng, Tom Soare, Mukund Hari, Emiliano Hergenreder, Stephanie Redmond,
biorxiv(2024)
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CoRR (2024)
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CoRR (2023)
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Sumit Mukherjee,Zachary R McCaw,Jingwen Pei, Anna Merkoulovitch,Raghav Tandon,Thomas W Soare,David Amar,Hari Somineni,Christoph Klein,Santhosh Satapati,David Lloyd, Christopher Probert,
biorxiv(2023)
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arXiv (Cornell University) (2023)
Zachary R. McCaw, Rounak Dey, Subra Kugathasan,David Amar,Sumit Mukherjee, Kaitlin Sandor,Theofanis Karaletsos, Daniel L. Koller,George Davey Smith,Daniel G. MacArthur,Colm O'Dushlaine,Thomas W Soare
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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arXiv (Cornell University) (2023)
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ICLR 2024 (2023)
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