Machine Learning Guided Discovery Professors in Global

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Leman Akoglu
Carnegie Mellon University United States of America
pattern discovery
machine learning
knowledge discovery
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Filip Kelvinius
Linköping University Sweden
material discovery
machine learning
deep learning
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Leman Akoglu
Carnegie Mellon University United States of America
pattern discovery
machine learning
anomaly detection
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Anna Korhonen
University of Cambridge United Kingdom
machine learning
knowledge discovery
deep 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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Wenhao Gao
University of Pennsylvania United States of America
machine learning
molecular discovery
generative modeling
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
generative modeling
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Yingzhen Li
Imperial College London United Kingdom
machine learning
probabilistic machine learning
generative modeling
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Danica Sutherland
University of British Columbia Canada
machine learning
theoretical machine learning
statistical machine learning
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Navid Azizan
Massachusetts Institute of Technology United States of America
machine learning
scientific machine learning
trustworthy machine learning
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Kristen Grauman
University of Texas at Austin United States of America
machine learning
unsupervised visual discovery
interactive machine learning
deep learning
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Aboelmagd Noureldin
Queen's University Canada
machine vision
machine intelligence
deep learning
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Ligang He
University of Warwick United Kingdom
machine learning
deep learning
anomaly detection
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Abdolrahman Peimankar
University of Southern Denmark Denmark
machine learning
deep learning
anomaly detection
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
deep learning
federated machine learning
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Yisong Yue
California Institute of Technology United States of America
machine learning
structured machine learning
interactive machine learning
statistical machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
deep learning
statistical machine learning
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Krishna Swamy
Yale University United States of America
machine learning
deep learning
geometric deep learning
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
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Anil Bharath
Imperial College London United Kingdom
machine learning
deep learning
pattern recognition
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George Azzopardi
University of Groningen Netherlands
machine learning
deep learning
pattern recognition
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