Sparse Tensor Algebra Professors in Global

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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
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Joel Tropp
California Institute of Technology United States of America
sparse modeling
randomized linear algebra
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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
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Joseph Kileel
University of Texas at Austin United States of America
numerical tensor decompositions
computational algebra
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Fredrik Kjolstad
Stanford University United States of America
sparse tensor algebra
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Svenska Stenström
University of Gothenburg Sweden
sparse tensor computations
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Giulia Guidi
Cornell University Netherlands
sparse linear algebra
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Vassilis Digalakis
Boston University United States of America
sparse machine learning
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Aydin Buluç
University of California, Berkeley United States of America
sparse computations
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Yani Ioannou
University of Calgary Canada
sparse neural networks
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Guillaume Obozinski
École Polytechnique Fédérale de Lausanne Switzerland
sparse modeling
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Alper Atamturk
University of California, Berkeley United States of America
sparse learning
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Irina Rish
University of Montreal Canada
sparse modeling
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Chen Greif
University of British Columbia Canada
sparse linear systems
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Morten Nielsen
Aalborg University Denmark
sparse signal processing
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Pierre Vandergheynst
École Polytechnique Fédérale de Lausanne Switzerland
sparse approximations
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Elias Zea Marcano
KTH Royal Institute of Technology Sweden
sparse signal processing
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Tengyao Wang
London School of Economics United Kingdom
sparse signal detection
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P. Vaidyanathan
California Institute of Technology United States of America
sparse sampling
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