Biologically Plausible Learning Rules Professors in Global

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Sebastiaan Terwijn
Radboud University Netherlands
computational learning theory
probabilistic logic
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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational learning theory
statistical learning theory
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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
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Tim Steininger
Albert-Ludwigs-Universität Freiburg Germany
learning theories
example-based learning
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Jean-philippe Ayotte-beaudet
University of Sherbrooke Canada
nature-based learning
place-based learning
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Tamara Van Gog
Utrecht University Netherlands
example-based learning
self-regulated learning
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Bart De Schutter
Delft University of Technology Netherlands
learning-based decision making
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Hongpeng Zhou
University of Manchester United Kingdom
interpretable learning
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Christoffer Back
University of Copenhagen Denmark
computability learning theory
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Elizaveta Rebrova
Princeton University United States of America
robust interpretable learning
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Elizaveta Rebrova
Princeton University United States of America
robust interpretable learning
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Barbara Flunger
Utrecht University Netherlands
learning behavior
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Matthew Gardner
Concordia University Canada
learning behavior
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Winston Tan
University of Sydney Australia
learning behavior
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Martin Hoefer
RWTH Aachen University Germany
computational learning theory
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Georgios Piliouras
Singapore University of Technology and Design Singapore
computational learning theory
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Frederic Koehler
University of Chicago United States of America
computational learning theory
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Rocco Servedio
Columbia University United States of America
computational learning theory
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Santosh Vempala
Georgia Institute of Technology United States of America
computational learning theory
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Gurmail Singh
University of Wisconsin–Madison United States of America
computational learning theory
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Tom Gur
University of Cambridge United Kingdom
computational learning theory
probabilistically checkable proofs
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