Equivariant Machine Learning Professors in Global

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Ferenc Huszár
University of Cambridge United Kingdom
machine learning
deep learning
bayesian machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
deep learning
statistical machine learning
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Geoff Webb
Monash University Australia
machine learning
ensemble machine learning
bayesian machine learning
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Danica Sutherland
University of British Columbia Canada
machine learning
theoretical machine learning
statistical machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning theory
machine learning algorithms
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Tal Kachman
Radboud University Netherlands
machine learning
deep learning
financial machine learning
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Tahereh Koohi
University of New South Wales Australia
machine learning
deep learning
evolutionary algorithms
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Nicholas Rhinehart
University of Toronto Canada
machine learning
deep learning
imitation learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
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Aboelmagd Noureldin
Queen's University Canada
machine vision
deep learning
machine intelligence
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Tess Smidt
Massachusetts Institute of Technology United States of America
symmetry equivariant neural networks
machine learning
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Vinay Gogineni
University of Southern Denmark Denmark
machine learning
quantum machine learning
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Osvaldo Simeone
King's College London United Kingdom
machine learning
quantum machine learning
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Roman Krems
University of British Columbia Canada
machine learning
quantum machine learning
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Roozbeh Razavi-far
University of New Brunswick Canada
machine learning
quantum machine learning
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Wenyuan Wang
University of Calgary Canada
machine learning
quantum machine learning
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Apurva Narayan
University of British Columbia Canada
machine learning
quantum machine learning
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Anatole Von Lilienfeld
University of Toronto Canada
machine learning
quantum machine learning
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Elizabeth Holm
University of Michigan United States of America
machine learning
machine vision
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Sam Hind
University of Manchester United Kingdom
machine learning
machine vision
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Maria Vesterdal
Aarhus University Denmark
machine learning
machine vision
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