Matrix Tensor Methods Professors in Global

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John Anderson
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Kate Hong
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Maysam Chamanzar
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Hans De Sterck
University of Waterloo Canada
tensor decomposition
multilevel numerical linear algebra methods
numerical methods
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Monique Laurent
Tilburg University Netherlands
combinatorial methods
geometric methods
algebraic methods
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Caleb Pomeroy
University of Toronto Canada
computational methods
statistical methods
experimental methods
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Ingemar André
Lund University Sweden
computational methods
high-throughput methods
experimental methods
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Ani Eloyan
Brown University United States of America
matrix decompositions
likelihood-based methods
semi-parametric methods
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Christopher Pain
Imperial College London United Kingdom
numerical methods
discrete element methods
inversion methods
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Christopher Pain
Imperial College London United Kingdom
numerical methods
discrete element methods
inversion methods
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Jens Walther
Technical University of Denmark Denmark
particle methods
discrete element methods
vortex methods
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Northwestern University United States of America
interpretive methods
experimental methods
qualitative methods
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Yuehaw Khoo
University of Chicago United States of America
tensor-network methods
neural-network methods
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Yuehaw Khoo
University of Chicago United States of America
tensor-network methods
neural-network methods
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Jesper Hinrich
Technical University of Denmark Denmark
tensor methods
probabilistic methods
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Lars Karlsson
Umeå University Sweden
tensor computations
matrix computations
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Andreas Pfenning
Carnegie Mellon University United States of America
mathematical methods
statistical methods
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Mike Tarr
Carnegie Mellon University United States of America
mathematical methods
statistical methods
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Nicolas Hadjiconstantinou
Massachusetts Institute of Technology United States of America
computational methods
multiscale simulation methods
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Tim Burness
University of Bristol United Kingdom
computational methods
probabilistic methods
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