Probabilistic Deep Learning Professors in Global

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Kavita Ramanan
Brown University United States of America
high-dimensional probability
probability theory
stochastic networks
stochastic analysis
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Jonathan Weare
New York University United States of America
probability theory
statistical machine learning
stochastic algorithms
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Lutz Warnke
University of California, San Diego United States of America
probability theory
combinatorial probability
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Silvio Patricio
University of Southern Denmark Denmark
probability theory
stochastic models
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Kurt Johansson
KTH Royal Institute of Technology Sweden
probability theory
stochastic models
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Florian Schweiger
University of Geneva Switzerland
probability theory
stochastic models
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Shui Feng
McMaster University Canada
probability theory
stochastic models
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Bruno Gächter
ZHAW Zurich University of Applied Sciences Switzerland
machine learning
predictive modeling
algorithmic decision-making
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Michel Mandjes
University of Amsterdam Netherlands
probability theory
stochastic modeling
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Gennady Samorodnitsky
Cornell University Netherlands
machine learning
probability theory
stochastic modeling
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Gennady Samorodnitsky
Cornell University Netherlands
probability theory
stochastic modeling
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Sitan Chen
Harvard University United States of America
algorithmic learning
quantum learning
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Ton Dieker
Columbia University United States of America
predictive modeling
stochastic networks
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Andrew Gronewold
University of Michigan United States of America
probability theory
bayesian inference
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Torkel Erhardsson
Linköping University Sweden
probability theory
bayesian inference
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Pierre Nyquist
KTH Royal Institute of Technology Sweden
probability theory
statistical learning
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Pierre Nyquist
KTH Royal Institute of Technology Sweden
probability theory
statistical learning
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Haiyan Liu
Michigan State University United States of America
probability theory
statistical learning
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Sunmee Kim
University of Manitoba Canada
predictive modeling
computational algorithms
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Wei-biao Wu
University of Chicago United States of America
high-dimensional inference
deep gaussian approximation
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Sigurd Assing
University of Warwick United Kingdom
machine learning
probability theory
stochastic analysis
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