Efficient Machine Learning Professors in Global

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Flora Salim
University of New South Wales Australia
robust machine learning
trustworthy machine learning
multimodal machine learning
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Subham Sahoo
Aalborg University Denmark
scientific machine learning
probabilistic machine learning
optimization
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Honglak Lee
University of Michigan United States of America
machine learning
deep learning
optimization
large-scale learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
optimization
dynamical systems machine learning
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Beidi Chen
Carnegie Mellon University United States of America
efficient machine learning
hardware acceleration for machine learning
algorithm optimization
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Yunzhong Hou
Australian National University Australia
efficient ai
deep learning
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David Inouye
Purdue University United States of America
robust machine learning
trustworthy machine learning
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Fanghui Liu
University of Warwick United Kingdom
learning efficiency
machine learning
trustworthy machine learning
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Navid Azizan
Massachusetts Institute of Technology United States of America
scientific machine learning
machine learning
trustworthy machine learning
mathematical optimization
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Guido Montúfar
University of California Los Angeles United States of America
mathematical machine learning
deep learning
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Geoff Pleiss
University of British Columbia Canada
reliable deep learning
machine learning
probabilistic machine learning
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Haohan Wang
University of Illinois United States of America
trustworthy machine learning
deep learning
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
healthy machine learning
behavioral machine learning
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
healthy machine learning
behavioral machine learning
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Ranko Lazic
University of Warwick United Kingdom
computational efficiency
systems optimization
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Ayman Gh.
Australian National University Australia
deep learning
machine learning algorithms
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Jan Drgona
Johns Hopkins University United States of America
scientific machine learning
optimization
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Jan Drgona
Johns Hopkins University United States of America
scientific machine learning
optimization
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Min Xia
Western University Canada
scientific machine learning
intelligent machine condition monitoring
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Aya Elgebaly
Technical University of Denmark Denmark
deep learning
interpretable machine learning
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