Institutional Sequencing Professors in Global

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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
machine learning
structured machine learning
interactive machine learning
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Ansgar Steland
RWTH Aachen University Germany
sequential analysis
machine learning
statistical learning
stochastic processes
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Stephen Bach
Brown University United States of America
statistical machine learning
machine learning
statistical relational learning
information extraction
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Rudolf Lioutikov
University of Texas at Austin United States of America
sequencing
imitation learning
structure learning
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
machine learning
theoretical machine learning
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A.c.c. Coolen
Radboud University Netherlands
machine learning
statistical inference
stochastic processes
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Mahdi Soltanolkotabi
University of Southern California United States of America
machine learning
statistical inference
deep learning
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Federico Bocci
Radboud University Netherlands
machine learning
single-cell sequencing
deep learning
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
machine learning
deep learning
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Vijay Balasubramanian
University of Pennsylvania United States of America
machine learning
statistical inference
information processing
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
statistical machine learning
machine learning
deep learning
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Barbara Bravi
Imperial College London United Kingdom
machine learning
statistical inference
sequence-function mapping
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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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Mohammad Anam Khan
University of Toronto Canada
machine learning
statistical inference
biostatistical analysis
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Sijung Yun
Johns Hopkins University United States of America
dna sequencing
next generation sequencing
rna sequencing
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Sun-yuan Kung
Princeton University United States of America
machine learning
structural learning
deep learning
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Soosan Beheshti
Toronto Metropolitan University Canada
machine learning
system identification
information extraction
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Rajesh Ranganath
New York University United States of America
machine learning
statistical inference
probabilistic inference
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Daniel Roy
University of Toronto Canada
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machine learning
sequential decision making
deep learning
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Irina Rish
University of Montreal Canada
machine learning
deep learning
probabilistic inference
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Edwin Wang
University of Calgary Canada
machine learning
deep learning
statistical modeling
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