Time Predictable Computing Professors in Global

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Henrik Boström
KTH Royal Institute of Technology Sweden
probabilistic machine learning
explainable machine learning
conformal prediction
trustworthy machine learning
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Yexiang Xue
Purdue University United States of America
computational sustainability
probabilistic reasoning
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Christoffer Back
University of Copenhagen Denmark
probabilistic inference
computability learning theory
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Dick Van Dijk
Erasmus University Rotterdam Netherlands
asset return predictability
forecasting
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Jonathan Cohen
Princeton University United States of America
computational modeling
cognitive computation
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Dale Griffin
University of British Columbia Canada
prediction
forecasting
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Stuart Russell
University of California, Berkeley United States of America
probabilistic reasoning
real-time decision making
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Rina Foygel Barber
University of Chicago United States of America
prediction
conformal prediction
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Tuğkan Batu
London School of Economics United Kingdom
randomized computation
computational theory
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Jun Zhang
University of Michigan United States of America
computational modeling
computational vision
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Paola Malanotte-rizzoli
Massachusetts Institute of Technology United States of America
climate prediction
theoretical modeling
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Randy Jamieson
University of Manitoba Canada
theoretical modelling
cognitive computing
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Raymundo Arróyave
Texas A&M University United States of America
thermo-mechanical properties prediction
computational thermodynamics
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Jiaqi Ma
University of Illinois United States of America
regulatable machine learning
trustworthy machine learning
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Christlinde Thielcke
Technical University of Berlin Germany
parameterized computational complexity
computational social choice
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Dongzhu Liu
University of Glasgow United Kingdom
conformal prediction
scalable bayesian learning
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Suhail Matar
University of Cambridge United Kingdom
processing temporal structures
computational cognitive modelling
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Laura Grigori
École Polytechnique Fédérale de Lausanne Switzerland
combinatorial scientific computing
tensor computations
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Erik Nielsen
Texas A&M University United States of America
numerical weather prediction
operational forecasting
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Anders Christensen
Aalborg University Denmark
structure prediction
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Michael Herbst
École Polytechnique Fédérale de Lausanne Switzerland
prediction of molecular properties
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