Theoretical Deep Learning Professors in Global

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Geoff Pleiss
University of British Columbia Canada
machine learning
probabilistic machine learning
reliable deep learning
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Sitan Chen
Harvard University United States of America
algorithmic learning
quantum learning
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Andreas Eilersen
ETH Zurich Switzerland
theoretical biology
mathematical modeling
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Rutger Hermsen
Utrecht University Netherlands
theoretical biology
mathematical modeling
computational models
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Mehrdad Mahdavi
Pennsylvania State University United States of America
deep learning
large-scale machine learning
computational learning theory
statistical learning theory
computational statistical machine learning
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Wiktor Młynarski
Ludwig Maximilian University of Munich Germany
probabilistic machine learning
neural computations
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Henrik Boström
KTH Royal Institute of Technology Sweden
probabilistic machine learning
trustworthy machine learning
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Charles Kemp
University of Melbourne Australia
relational learning
computational models of learning
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Charbel Farhat
Stanford University United States of America
probabilistic machine learning
computational algorithms
mathematical models
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Molei Tao
Georgia Institute of Technology United States of America
deep learning theory
machine learning
probabilistic machine learning
dynamical systems machine learning
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Corina Tarnita
Princeton University United States of America
theoretical biology
network theory
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Stephen Tu
University of Southern California United States of America
statistical learning theory
imitation learning
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David Poole
University of British Columbia Canada
relational learning
decision theoretic planning
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Kimia Ghobadi
Johns Hopkins University United States of America
mathematical modeling
real-time algorithms
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Vinay Gogineni
University of Southern Denmark Denmark
machine learning
quantum machine learning
self-supervised learning
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Apurva Narayan
University of British Columbia Canada
machine learning
quantum machine learning
data mining
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Jonathan Watts
University of Cambridge United Kingdom
mathematical modeling
theoretical geophysics
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Sarunas Girdzijauskas
Royal Institute of Technology Sweden
decentralized machine learning
data mining
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Jacques Bélair
University of Montreal Canada
mathematical modeling
dynamic systems theory
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John Higgins
Harvard University United States of America
mathematical modeling
dynamic systems theory
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Xuan Doan
Warwick Business School United Kingdom
mathematical modeling
data mining
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