基本信息
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Career Trajectory
Bio
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.
Research Interests
Papers共 85 篇Author StatisticsCo-AuthorSimilar Experts
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Yoshua Bengio,Geoffrey Hinton, Andrew Yao,Dawn Song,Pieter Abbeel,Trevor Darrell, Yuval Noah Harari,Ya-Qin Zhang, Lan Xue,Shai Shalev-Shwartz,Gillian Hadfield,Jeff Clune,
Science (New York, N.Y.)no. 6698 (2024): 842-845
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONSno. 2 (2024)
CoRR (2024)
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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)
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,
Reviews in Physics (2023): 100085-100085
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS (SIMULTECH)pp.80-91, (2022)
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