High Performance Machine Learning Professors in Global

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Nikela Papadopoulou
University of Glasgow United Kingdom
machine learning
performance optimization
performance modeling
high-performance computing (hpc)
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George Amvrosiadis
Carnegie Mellon University United States of America
high performance computing
machine learning
scalable machine learning
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Ahmad Afsahi
Queen's University Canada
high-performance computing
high-performance communication
deep learning
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Hai Shu
New York University United States of America
high-dimensional data analysis
machine learning
deep learning
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Sophia Wilson
University of Copenhagen Denmark
machine learning
data efficient machine learning
resource efficient machine learning
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
machine learning
deep learning
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Mike Holenderski
Eindhoven University of Technology Belgium
machine learning
reliable machine learning
performance prediction
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Qifan Song
Purdue University United States of America
machine learning
deep learning
high dimensional data
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Aravindan Vijayaraghavan
Northwestern University United States of America
high-dimensional data analysis
machine learning
efficient algorithms
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Anna Choromanska
New York University Tandon School of Engineering United States of America
machine learning
deep learning
large data analysis
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
machine learning
high-dimensional data
high-throughput molecular data
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Honglak Lee
University of Michigan United States of America
machine learning
deep learning
large-scale learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
deep learning
computational statistical machine learning
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
multivariate high dimensional data analysis
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Aboelmagd Noureldin
Queen's University Canada
deep learning
machine intelligence
machine vision
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Kaixin Liu
London School of Economics and Political Science United Kingdom
machine learning
high-frequency time series
high-dimensional time series
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Geoff Pleiss
University of British Columbia Canada
machine learning
reliable deep learning
probabilistic machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Woonhong Yeo
Georgia Institute of Technology United States of America
deep learning
high-throughput fabrication
smart machine intelligence
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
behavioral machine learning
healthcare machine learning
healthy machine learning
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
behavioral machine learning
healthcare machine learning
healthy machine learning
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