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Physics Guided Machine Learning
Physics Guided Machine Learning Professors in Global
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Professor
Tal Kachman
Radboud University
Netherlands
machine learning
statistical physics
deep learning
financial machine learning
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Professor
Vinay Gogineni
University of Southern Denmark
Denmark
physics-informed neural networks
machine learning
quantum machine learning
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Professor
Satyasaran Changdar
University of Copenhagen
Denmark
physics-informed neural networks
machine learning
deep learning
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Professor
Nathaniel Bastian
Pennsylvania State University
United States of America
federated machine learning
machine learning
deep learning
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Professor
Danica Sutherland
University of British Columbia
Canada
machine learning
statistical machine learning
theoretical machine learning
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Professor
Somnath Ghosh
Johns Hopkins University
United States of America
multi-physics modeling
machine learning
physics
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Professor
Mikhail Khodak
University of Wisconsin–Madison
United States of America
automated machine learning
machine learning
federated learning
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Professor
Moez Ali
Queen's University
Canada
automated machine learning
machine learning
automated modeling
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Professor
Samy Bengio
École Polytechnique Fédérale de Lausanne
Switzerland
machine learning
statistical machine learning
deep learning
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Professor
Stefan Zohren
University of Oxford
United Kingdom
applied machine learning
mathematical physics
deep learning
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Professor
Hina Shaheen
University of Manitoba
Canada
machine learning
statistical machine learning
computational modelling
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Professor
Rickard Armiento
Linköping University
Sweden
machine learning
physical modeling
theoretical physics
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Professor
Martin Kröger
ETH Zurich
Switzerland
computational physics
statistical physics
theoretical physics
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Professor
David Brückner
University of Basel
Switzerland
machine learning
statistical physics
theoretical physics
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Professor
Federico Bocci
Radboud University
Netherlands
machine learning
deep learning
biophysical modeling
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Professor
Jeffrey Schenker
Michigan State University
United States of America
mathematical physics
statistical physics
theoretical physics
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Professor
Jessica Sorrell
Johns Hopkins University
United States of America
machine learning
machine learning algorithms
machine learning theory
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Professor
Andreas Zmija
Friedrich-Alexander-Universität Erlangen-Nürnberg
Germany
applied physics
theoretical physics
physics
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Professor
John Garrett
University of Wisconsin–Madison
United States of America
machine learning
deep learning
federated learning
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Professor
Mahdi Soltanolkotabi
University of Southern California
United States of America
machine learning
deep learning
federated learning
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Professor
Mohsen Amiri
Stockholm University
Sweden
machine learning
deep learning
federated learning
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