Adversarial Machine Learning Professors in Global

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Kin-choong Yow
University of Regina Canada
generative adversarial networks
machine learning
artificial intelligence
deep learning
deep reinforcement learning
pattern recognition
artificial general intelligence
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
machine learning
structured machine learning
artificial intelligence
interactive machine learning
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
structured machine learning
interactive machine learning
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Guang Lin
Purdue University United States of America
statistical machine learning
predictive modeling
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Syed Ahmed
Brock University Canada
statistical machine learning
predictive modeling
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Guang Lin
Purdue University United States of America
statistical machine learning
predictive modeling
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Syed Ahmed
Brock University Canada
statistical machine learning
predictive modeling
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Yuxin Chen
University of Pennsylvania United States of America
statistical machine learning
machine learning theory
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Kalinda Ukanwa
University of Southern California United States of America
algorithmic decision-making
algorithmic bias
artificial intelligence
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Madlene Nussbaum
Utrecht University Netherlands
statistical machine learning
predictive mapping
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Mark Winands
Maastricht University Netherlands
adaptive algorithms
machine reasoning
artificial intelligence
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Bruno Gächter
ZHAW Zurich University of Applied Sciences Switzerland
machine learning
algorithmic decision-making
predictive modeling
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Uwe Naumann
RWTH Aachen University Germany
algorithmic differentiation
numerical algorithms
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Panagiotis Papapetrou
Stockholm University Sweden
algorithmic data mining
artificial intelligence
interpretable machine learning
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Emma Xue
Macquarie University Australia
adaptive artificial intelligence
deep learning
pattern mining
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Joseph Gonzalez
University of California, Berkeley United States of America
machine learning
accelerated deep learning
deep reinforcement learning
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Aditya Potukuchi
York University Canada
algorithmic sampling
algorithmic counting
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Varun Kanade
University of Oxford United Kingdom
computational learning
deep learning
randomised algorithms
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Mogana Ganggayah
Monash University Australia
machine learning
predictive modeling
deep learning
decision analytic modelling
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David Doty
University of California, Davis United States of America
algorithmic information theory
algorithmic self-assembly
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Daniel Spielman
Yale University United States of America
algorithmic foundations
randomized algorithms
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