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Workshop IV: Efficient Tensor Representations for Learning and Computational Complexity
Workshop IV: Efficient Tensor Representations for Learning and Computational Complexity
Part of the Long Program
Tensor Methods and Emerging Applications to the Physical and Data Sciences
May 17 - 21, 2021
Overview
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Poster Session
Overview
Speaker List
Schedule
Registration
Poster Session
Speaker List
Alessandra Bernardi (Università di Trento)
Peter Burgisser
(Technische Universität Berlin)
Yuxin Chen
(Princeton University)
Matthias Christandl
(University of Copenhagen)
Harm Derksen
(Northeastern University)
Shmuel Friedland
(University of Illinois at Chicago)
Babak Hassibi
(California Institute of Technology)
Daniel Hsu
(Columbia University)
Furong Huang
(University of Maryland)
Christian Ikenmeyer
(University of Liverpool)
Jean Kossaifi
(Nvidia Corporation)
Richard Kueng
(Johannes Kepler University)
Visu Makam
(Institute for Advanced Study)
Andrea Montanari (Stanford University)
Ketan Mulmuley
(University of Chicago)
Qing Qu
(University of Michigan)
Holger Rauhut
(RWTH Aachen University)
Hanie Sedghi
(Google AI)
Anna Seigal
(University of Oxford)
Dong Xia
(Hong Kong University of Science and Technology)
Rose Yu
(University of California, San Diego (UCSD))
Jeroen Zuiddam (Courant Institute of Mathematical Sciences)