Massive Parallel Sequencing Professors in Global

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Yassine Yaakoubi
Concordia University Canada
large-scale combinatorial optimization
probabilistic machine learning
stochastic programming
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
large language models
statistical machine learning
machine learning
deep learning
multimodal processing
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Rahul Mazumder
Nanyang Technological University Singapore
large scale optimization
statistical machine learning
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David Probst
Concordia University Canada
distributed parallel systems
large-scale shared memory multiprocessors
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Yang Han
University of Manchester United Kingdom
statistical machine learning
simultaneous statistical inference
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Georgios Fellouris
University of Illinois United States of America
sequential detection
large sample theory
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Stefan Adams
University of Warwick United Kingdom
multi-scale systems
machine learning
large deviation theory
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Craig Gelowitz
University of Regina Canada
distributed parallel computing
machine learning
deep learning
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Mi Park
University of British Columbia Canada
statistical machine learning
theoretical machine learning
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
machine learning
theoretical machine learning
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Yang Han
University of Manchester United Kingdom
statistical machine learning
simultaneous inference
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Michael Chen
York University Canada
large scale optimization
deep learning
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Alfred Ferrer Florensa
Technical University of Denmark Denmark
biological sequence modeling
deep learning
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Christian Onof
Imperial College London United Kingdom
statistical machine learning
stochastic modeling
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Andreas Grothey
University of Edinburgh United Kingdom
large scale optimization
stochastic programming
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Andreas Grothey
University of Edinburgh United Kingdom
large scale optimization
stochastic programming
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Fani Deligianni
University of Glasgow United Kingdom
statistical machine learning
deep learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
deep learning
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Julian Kooij
Delft University of Technology Netherlands
statistical machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
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Tsu-pei Chiu
University of Southern California United States of America
statistical machine learning
deep learning
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