Reliable Machine Learning Professors in Global

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R Bahar
Brown University United States of America
reliable computing
robust 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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Karthik Pattabiraman
University of British Columbia Canada
reliable computing systems
dependable software
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Alessio Lomuscio
Imperial College London United Kingdom
robust machine learning
safe artificial intelligence
verification of neural networks
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
deep learning
machine learning frameworks
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Xiaohua Huang
University of California, San Diego United States of America
deep machine learning
computational modeling
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Yuhang Deng
Linköping University Sweden
efficient data aggregation
decentralized machine learning
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Andrew Loza
Yale University United States of America
real-world data
predictive analytics
statistical deep learning
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Raymond Kao
Western University Canada
large data analysis
prediction modeling
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Ming Liu
University of Wisconsin–Madison United States of America
robust networked systems
efficient networked systems
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Geoff Pleiss
University of British Columbia Canada
reliable deep learning
machine learning
probabilistic machine learning
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Yingyan Lin
Georgia Institute of Technology United States of America
efficient machine learning
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David Pan
University of Texas at Austin United States of America
efficient machine learning
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Beidi Chen
Carnegie Mellon University United States of America
efficient machine learning
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Matthijs Spaan
Delft University of Technology Netherlands
reliable ai algorithms
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Felix Loh
Singapore University of Technology and Design Singapore
reliable computing
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Zhiyuan Yu
Texas A&M University United States of America
trustworthy machine learning systems
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Yue Zhao
University of Southern California United States of America
reliable ai systems
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Yue Zhao
University of Southern California United States of America
reliable ai systems
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Marten Van Dijk
Vrije Universiteit Amsterdam Netherlands
secure trustworthy machine learning
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Priya Donti
Massachusetts Institute of Technology United States of America
robust machine learning
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