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个人简介
My work is at the intersection of generative modeling, probabilistic programming, and deep learning, with an interest in applications of machine learning for scientific discovery. I am currently focusing on enabling efficient probabilistic inference in large-scale simulators, implementing code for distributed training and inference at supercomputing scale in collaboration with Lawrence Berkeley Lab. I am also involved in NASA and ESA Frontier Development Lab programs as faculty and member of the AI Technical Committee.
研究兴趣
论文共 85 篇作者统计合作学者相似作者
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Andrés Muñoz-Jaramillo,Anna Jungbluth, Xavier Gitiaux,Paul J. Wright, Carl Shneider, Shane A. Maloney,Atılım Güneş Baydin, Yarin Gal, Michel Deudon,Freddie Kalaitzis
The Astrophysical Journal Supplement Seriesno. 2 (2024): 46
Aditya Chopra,Aaron C Bell, William Fawcett,Rodd Talebi,Daniel Angerhausen,Atılım Güneş Baydin,Anamaria Berea,Nathalie A. Cabrol,Christopher Kempes, Massimo Mascaro
arXiv (Cornell University) (2023)
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Yoshua Bengio,Geoffrey Hinton, Andrew Yao,Dawn Song,Pieter Abbeel, Yuval Noah Harari,Ya-Qin Zhang, Lan Xue,Shai Shalev-Shwartz,Gillian Hadfield,Jeff Clune,Tegan Maharaj,
CoRR (2023)
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CoRR (2023)
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PLANETARY SCIENCE JOURNALno. 4 (2023): 74-74
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONSno. 12 (2023)
Tommaso Dorigo,Andrea Giammanco,Pietro Vischia, Max Aehle, Mateusz Bawaj, Alexey Boldyrev, Pablo de Castro Manzano,Denis Derkach,Julien Donini,Auralee Edelen, Federica Fanzago,Nicolas R. Gauger,
arxiv(2023)
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PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS (SIMULTECH)pp.80-91, (2022)
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