Trustworthy Machine Learning Systems Professors in Global

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Henrik Boström
KTH Royal Institute of Technology Sweden
trustworthy machine learning
probabilistic machine learning
explainable machine learning
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Geoff Pleiss
University of British Columbia Canada
reliable deep learning
probabilistic machine learning
machine learning
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Yisong Yue
California Institute of Technology United States of America
structured machine learning
statistical machine learning
machine learning
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Hyong Kim
Carnegie Mellon University United States of America
reliable systems
fault-tolerant systems
secure systems
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Shai Ben-david
University of Waterloo Canada
reliability in machine learning
machine learning
interpretability in machine learning
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Martin Vechev
ETH Zurich Switzerland
reliable systems
intelligent systems
secure systems
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Yingzhen Li
Imperial College London United Kingdom
probabilistic machine learning
explainable machine learning
machine learning
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Subham Sahoo
Aalborg University Denmark
scientific machine learning
probabilistic machine learning
reliability
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Hamid Alinejad-rokny
University of New South Wales Australia
statistical machine learning
machine learning
biomedical machine learning
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Sophia Wilson
University of Copenhagen Denmark
resource efficient machine learning
data efficient machine learning
machine learning
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Molei Tao
Georgia Institute of Technology United States of America
probabilistic machine learning
machine learning
dynamical systems machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning algorithms
machine learning
machine learning theory
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
intelligent systems
federated machine learning
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Muhammad Shafique
New York University Tandon School of Engineering United States of America
embedded machine learning
robust computing
fault-tolerant secure hardware
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David Inouye
Purdue University United States of America
trustworthy machine learning
robust machine learning
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Flora Salim
University of New South Wales Australia
trustworthy machine learning
robust machine learning
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Minhao Cheng
Pennsylvania State University United States of America
trustworthy machine learning
machine learning
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Hanshen Xiao
Purdue University United States of America
trustworthy machine learning
machine learning
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Jun-kun Wang
University of California, San Diego United States of America
trustworthy machine learning
machine learning
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Fanghui Liu
University of Warwick United Kingdom
trustworthy machine learning
machine learning
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Hongyang Zhang
University of Waterloo Canada
trustworthy machine learning
machine learning
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