Dimensionality Reduction Professors in Global

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Arson Lab
Cornell University Netherlands
model reduction
deep learning
numerical modeling
multi-scale modeling
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Joel Hass
University of California, Davis United States of America
dimensional manifolds
differential geometry
computational complexity
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Hojae Yi
Pennsylvania State University United States of America
size reduction
numerical modeling
mathematical modeling
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Per Åhag
Umeå University Sweden
mathematical modeling
differential geometry
geometric deep learning
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Jan Bauer
Vrije Universiteit Amsterdam Netherlands
dimensionality reduction
high-dimensional data analysis
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Ali Ghodsi
University of Waterloo Canada
dimensionality reduction
deep learning
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Matthew Kaufman
University of Chicago United States of America
dimensionality reduction
computational modeling
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Matthew Kaufman
University of Chicago United States of America
dimensionality reduction
computational modeling
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Florentina Bunea
Cornell University Netherlands
dimension reduction
high-dimensional statistical inference
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Francesca Chiaromonte
Pennsylvania State University United States of America
dimension reduction
high-dimensional data
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Benoit Liquet-weiland
Macquarie University Australia
dimension reduction methods
high dimensional data analysis
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Tengyao Wang
London School of Economics United Kingdom
dimension reduction techniques
high-dimensional statistics
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Florentina Bunea
Cornell Bowers University United States of America
sparsity dimension reduction
high-dimensional statistical inference
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Pierre-emmanuel Jabin
Pennsylvania State University United States of America
complexity reduction
deep learning
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Steven Brunton
University of Washington United States of America
model reduction
high-dimensional dynamical systems
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Huan Lei
Michigan State University United States of America
model reduction
multi-scale modeling
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Ruoqing Zhu
University of Illinois United States of America
sufficient dimension reduction
high-dimensional data
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Arthur Jacot
New York University United States of America
low-dimensional representations
deep learning
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Rayhaneh Akhavan
University of Michigan United States of America
reduced-order modeling
drag reduction
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Massimo Fornasier
Technical University of Munich Germany
high-dimensional optimization
mathematical modeling
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J Kosterlitz
Brown University United States of America
one-dimensional physics
two-dimensional physics
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