Predictive Accuracy Testing Professors in Global

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Tom Rainforth
University of Oxford United Kingdom
statistical machine learning
probabilistic programming
approximate inference
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Aravind Krishnamoorthy
Texas A&M University United States of America
predictive design
machine learning
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Mike Holenderski
Eindhoven University of Technology Belgium
performance prediction
reliable machine learning
machine learning
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Fredrik Lindsten
Linköping University Sweden
statistical predictions
machine learning
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Brad Calder
University of California, San Diego United States of America
value prediction
critical path prediction
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Alfred Hero
University of Michigan United States of America
predictive medicine
statistical machine learning
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Frank Wood
University of British Columbia Canada
applied probabilistic machine learning
probabilistic programming
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Matias Carrasco Kind
University of Illinois United States of America
generative predictive models
machine learning
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Anindya Das
Umeå University Sweden
adaptive deviation learning
machine learning
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Thomas Gregor
Princeton University United States of America
precision measurements
machine learning
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Matthias Becker
KTH Royal Institute of Technology Sweden
predictable timing behavior
probabilistic programming
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Emilia Olsson
University of Amsterdam Netherlands
atomic scale prediction
machine learning
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
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Adem Aouichaoui
Technical University of Denmark Denmark
molecular property prediction
machine learning
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Michał Koziarski
University of Toronto Canada
molecular property prediction
machine learning
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Julian Kooij
Delft University of Technology Netherlands
trajectory forecasting
statistical machine learning
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Sicco Verwer
Delft University of Technology Netherlands
automated software testing
machine learning
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Shreyes Melkote
Georgia Institute of Technology United States of America
precision machining
machine learning
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Kjell Jorner
ETH Zurich Switzerland
reaction prediction
machine learning
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Dale Schuurmans
University of Alberta Canada
probability modeling
machine learning
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Dale Schuurmans
University of Alberta Canada
probability modeling
machine learning
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