Machine Learning Interatomic Potentials Professors in Global

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Seán Kavanagh
University of Cambridge United Kingdom
interatomic potentials
machine learning
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Klaus Müller
Technical University of Berlin Germany
probabilistic machine learning
machine learning
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Paul Henderson
University of Glasgow United Kingdom
probabilistic machine learning
machine learning
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Dejan Zecevic
Yale University United States of America
action potentials
inhibitory postsynaptic potentials
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Geoff Pleiss
University of British Columbia Canada
probabilistic machine learning
machine learning
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Molei Tao
Georgia Institute of Technology United States of America
probabilistic machine learning
machine learning
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Klaus-robert Müller
Technical University of Berlin Germany
probabilistic machine learning
machine learning
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Magnus Ross
University College London United Kingdom
probabilistic machine learning
machine learning
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Yingzhen Li
Imperial College London United Kingdom
probabilistic machine learning
machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning algorithms
machine learning
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Adem Aouichaoui
Technical University of Denmark Denmark
molecular property prediction
machine learning
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Michał Koziarski
University of Toronto Canada
molecular property prediction
machine learning
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Lindsey Heagy
University of British Columbia Canada
potential fields
machine learning
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Omar Rivasplata
University of Manchester United Kingdom
machine learning
machine learning robotics
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Alexander Sawchuk
University of Southern California United States of America
machine learning
interconnections networks
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Mikhail Khodak
University of Wisconsin–Madison United States of America
machine learning
automated machine learning
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Danica Sutherland
University of British Columbia Canada
machine learning
theoretical machine learning
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Mohammad Soleymani
University of Southern California United States of America
machine learning
multimodal machine learning
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Holger Hoos
RWTH Aachen University Germany
machine learning
automated machine learning
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Pascal Frossard
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
network machine learning
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Mohamed Abdelfattah
Cornell University Netherlands
machine learning
automated machine learning
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