Learning Models Professors in Global

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Pascal Vincent
University of Montreal Canada
machine learning
statistical models
representation learning
deep learning
pattern recognition
neural networks
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Jaime Ide
Yale University United States of America
machine learning
pattern recognition
theoretical modeling
predictive modeling
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
machine learning
large language models
statistical learning
neural networks
reinforcement learning
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Elvis Dohmatob
Concordia University Canada
learning theory
machine learning
neural networks
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Fangxin Fang
Imperial College London United Kingdom
model reduction
machine learning
predictive modeling
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Joris Mooij
University of Amsterdam Netherlands
computational models
machine learning
statistical learning
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Honglak Lee
University of Michigan United States of America
machine learning
representation learning
deep learning
large-scale learning
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Richard Zemel
University of Toronto Canada
machine learning
representation learning
neural networks
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Guilherme Dinis Chaliane Junior
Stockholm University Sweden
machine learning
representation learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
machine learning
representation learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
representation learning
deep learning
reinforcement learning
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Dhruv Shah
Princeton University United States of America
machine learning
representation learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
representation learning
deep learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
machine learning
representation learning
reinforcement learning
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Joseph Williams
University of Toronto Canada
machine learning
learning
reinforcement learning
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Paul Rosenbloom
University of Southern California United States of America
machine learning
cognitive modeling
neural networks
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Giorgia Ramponi
University of Zurich Switzerland
machine learning
mathematical modeling
reinforcement learning
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Tilda Herrgårdh
Linköping University Sweden
machine learning
mathematical modelling
mechanistic models
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Jason Klusowski
Princeton University United States of America
decision tree learning
network modeling
deep learning
statistical learning
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Maryam Fazel
University of Washington United States of America
machine learning
learning control
deep learning
reinforcement learning
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Keith Jenkins
University of Southern California United States of America
machine learning
pattern recognition
neural networks
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