Mechanistic Learning Professors in Global

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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
machine learning
reinforcement learning
continual learning
semi-supervised learning
federated learning
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C. Green
University of Wisconsin–Madison United States of America
motor learning
human learning
cognitive learning
perceptual learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
multi-modal learning
automated machine learning
machine learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
machine learning
distributed learning
federated learning
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Vinay Gogineni
University of Southern Denmark Denmark
self-supervised learning
machine learning
continual learning
quantum machine learning
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Yinbei Li
Singapore Institute of Technology Singapore
robot learning
imitation learning
reinforcement learning
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Lerrel Pinto
New York University United States of America
robot learning
machine learning
reinforcement learning
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Tilda Herrgårdh
Linköping University Sweden
mechanistic models
machine learning
mathematical modelling
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Klaus-robert Müller
Technical University of Berlin Germany
probabilistic machine learning
multimodal learning
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
machine learning
reinforcement learning
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Klaus Müller
Technical University of Berlin Germany
probabilistic machine learning
multimodal learning
machine learning
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Samory Kpotufe
Columbia University United States of America
multi-task learning
adaptive learning
statistical machine learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
machine learning
reinforcement learning
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Florian Shkurti
University of Toronto Canada
imitation learning
machine learning
reinforcement learning
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Matthew Howard
King's College London United Kingdom
imitation learning
machine learning
reinforcement learning
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Benedek Kurdi
University of Illinois United States of America
learning
causal learning
reinforcement learning
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Florian Shkurti
University of Toronto Canada
imitation learning
machine learning
reinforcement learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
machine learning
reinforcement learning
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Muhammad Hafez
University of Southampton United Kingdom
robot learning
reinforcement learning
continual robot learning
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Joseph Williams
University of Toronto Canada
learning
machine learning
reinforcement learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
imitation learning
reinforcement learning
structure learning
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