Material Learning Professors in Global

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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
machine learning
transfer learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
machine learning
transfer learning
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Pascal Poupart
University of Waterloo Canada
material design
reinforcement learning
shot learning
machine learning
causal learning
self-supervised learning
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Hagen Eckert
Duke University Singapore
machine learning in materials discovery
materials science
computational materials science
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Joseph Williams
University of Toronto Canada
learning
reinforcement learning
machine learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
causal learning
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Rickard Armiento
Linköping University Sweden
materials science
physical modeling
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
materials science
physical modeling
machine learning
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Sid Kumar
Delft University of Technology Netherlands
materials science
material deformation
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
reinforcement learning
statistical learning
machine learning
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Fadi Abdeljawad
Northwestern University United States of America
materials science
computational materials science
machine learning
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Shuang Ao
University of New South Wales Australia
reinforcement learning
curriculum learning
machine learning
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Maryam Fazel
University of Washington United States of America
reinforcement learning
learning control
machine learning
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Junfeng Wen
Carleton University Canada
reinforcement learning
machine learning
transfer learning
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Giorgia Ramponi
University of Zurich Switzerland
reinforcement learning
machine learning
mathematical modeling
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
machine learning
self-supervised learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
machine learning
self-supervised learning
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Line Hjorth Christensen
University of Southern Denmark Denmark
material learning
learning materials design
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Alex Hallett
ETH Zurich Switzerland
materials theory
computational materials modeling
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Rudolf Lioutikov
University of Texas at Austin United States of America
structure learning
imitation learning
reinforcement learning
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Jesse Maassen
Dalhousie University Canada
materials simulation
materials science
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