Trustworthy Machine Learning Systems Professors in Global

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Shweta Singh
Purdue University United States of America
sustainable systems modeling
complex systems models
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Mats Granath
University of Gothenburg Sweden
deep machine learning
strongly correlated systems
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Di Niu
University of Alberta Canada
intelligent systems
applied machine learning
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Shakiba Davari
Virginia Tech United States of America
intelligent systems
applied machine learning
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Di Niu
University of Alberta Canada
intelligent systems
applied machine learning
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Xi Chen
New York University United States of America
scalable systems
applied machine learning
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Alan Daly
University of California, San Diego United States of America
strengths-based systems
trust
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Martin Vechev
ETH Zurich Switzerland
reliable systems
intelligent systems
secure systems
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
intelligent systems
federated machine learning
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Thomas Tran
University of Ottawa Canada
knowledge-based systems
trust
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Daniel Björkegren
Columbia University United States of America
applied machine learning
algorithmic transparency
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Yunpeng Shi
University of California, Davis United States of America
scalable computational methods
robust estimation
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Morgane Austern
Harvard University United States of America
machine learning theory
learning structured data
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Elizaveta Rebrova
Princeton University United States of America
robust interpretable learning
randomized algorithms
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Elizaveta Rebrova
Princeton University United States of America
robust interpretable learning
randomized algorithms
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Luca Laurenti
Delft University of Technology Netherlands
data-driven systems
stochastic systems
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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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Nanna Thylstrup
University of Copenhagen Denmark
critical machine learning
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Guangzhi Tang
Maastricht University Netherlands
efficient deep learning
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Yani Ioannou
University of Calgary Canada
efficient deep learning
machine learning
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Matthew Gardner
Concordia University Canada
prediction systems
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