Deep Probabilistic Reasoning Professors in Global

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Satish Thittamaranahalli
University of Southern California United States of America
probabilistic reasoning
model-based reasoning
constraint reasoning
spatio-temporal reasoning
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Mikhail Glazunov
Delft University of Technology Netherlands
probabilistic modeling
deep learning
bayesian deep learning
robustness of deep neural networks
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Tim French
University of Western Australia Australia
probabilistic reasoning
automated reasoning
reasoning
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David Poole
University of British Columbia Canada
probabilistic reasoning
automated reasoning
decision theory
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Thomas Icard
Stanford University United States of America
probabilistic reasoning
automated reasoning
causal inference
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Yarin Gal
University of Oxford United Kingdom
deep probabilistic ai
deep reinforcement learning
bayesian deep learning
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Rajesh Ranganath
New York University United States of America
deep generative modeling
probabilistic inference
causal inference
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Jochen Renz
Australian National University Australia
spatial reasoning
qualitative reasoning
temporal reasoning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
commonsense reasoning
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Jennifer Thom
University of Victoria Canada
numeric reasoning
spatial reasoning
geometric reasoning
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Irina Rish
University of Montreal Canada
probabilistic inference
deep learning
biologically plausible reinforcement learning
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Can Mekik
University of Toronto Canada
relational reasoning
logical reasoning
analogical reasoning
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Kenneth Forbus
Northwestern University United States of America
spatial reasoning
qualitative reasoning
analogical reasoning
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Ken Forbus
Northwestern University United States of America
spatial reasoning
qualitative reasoning
analogical reasoning
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Daniel Roy
University of Toronto Canada
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deep learning
probabilistic programming
decision theory
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Qiang Liu
University of Texas at Austin United States of America
deep distributed learning
deep reinforcement learning
probabilistic graphical models
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Yee Teh
University of Oxford United Kingdom
deep learning
probabilistic learning
large scale machine learning
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Jamal Bentahar
Concordia University Canada
spatial reasoning
temporal reasoning
decision theory
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
deep gaussian processes
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James Joyce
University of Michigan United States of America
causal reasoning
rational choice theory
inductive inference
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Mehrdad Mahdavi
Pennsylvania State University United States of America
deep learning
large-scale machine learning
computational learning theory
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