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Physics Aware Machine Learning
Physics Aware Machine Learning Professors in Global
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Professor
Nicholas Rhinehart
University of Toronto
Canada
machine learning
robot learning
deep learning
reinforcement learning
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Professor
Vinay Gogineni
University of Southern Denmark
Denmark
physics-informed neural networks
quantum machine learning
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
Clemens Gühmann
Technical University of Berlin
Germany
physics-based modelling
machine learning
data-based modelling
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Professor
Stacy Tantum
Duke University
Singapore
physics-based statistical signal processing
context-aware machine learning
mindset-aware learning
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Professor
Stacy Tantum
Duke University
Singapore
physics-based statistical signal processing
context-aware machine learning
mindset-aware learning
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Professor
Michiel Van De Panne
University of British Columbia
Canada
physics-based simulation
machine learning
reinforcement 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
Yisong Yue
California Institute of Technology
United States of America
machine learning
statistical machine learning
interactive machine 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
Samy Bengio
École Polytechnique Fédérale de Lausanne
Switzerland
machine learning
statistical machine learning
deep learning
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Professor
Girish Chowdhary
University of Illinois
United States of America
machine learning
machine vision
reinforcement learning
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Professor
Kristen Grauman
University of Texas at Austin
United States of America
machine learning
interactive machine learning
deep learning
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Professor
Benjamin Joffe
Georgia Institute of Technology
United States of America
machine learning
robot learning
deep learning
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Professor
Stephanie Milani
Johns Hopkins University
United States of America
machine learning
interactive machine learning
reinforcement learning
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Professor
Lerrel Pinto
New York University
United States of America
machine learning
robot learning
reinforcement learning
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Professor
Yangchen Pan
University of Oxford
United Kingdom
machine learning
deep learning
reinforcement learning
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Professor
Sidney Givigi
Queen's University
Canada
machine learning
deep learning
reinforcement learning
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Professor
Hongyang Dong
University of Warwick
United Kingdom
machine learning
deep learning
reinforcement learning
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Professor
Mohsen Amiri
Stockholm University
Sweden
machine learning
deep learning
reinforcement learning
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Professor
Tal Kachman
Radboud University
Netherlands
machine learning
deep learning
reinforcement learning
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