Workshop IV: Efficient Tensor Representations for Learning and Computational Complexity
Poster Session
Welcome to the virtual poster session for Workshop IV: Efficient Tensor Representations for Learning and Computational Complexity
Registered participants will receive an email to participate in the online poster session – to be held between May 17-21, 2021 – to view and comment on the virtual posters. Presenters will be available during that week to respond to questions and comments – contact information can be found on the posters. After May 21, all virtual posters will remain publicly available as an archive.
Poster #1: “Efficient Structure-preserving Support Tensor Train Machine” by Kirandeep Kour (Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg)
Poster #2: “Learning cognitive features from multiway EEG data using tensor decomposition” by Deqing Wang (Dalian University of Technology, China)
Poster #3: “Improving on the stability Jennrich’s algorithm” by Eric Evert (Katholieke Universiteit Leuven, Campus Kortrijk)
Organizing Committee
Anima Anandkumar
(California Institute of Technology)
Fernando Brandao
(California Institute of Technology)
Rong Ge
(Duke University)
David Gross
(Universität zu Köln)
Michael Walter
(Universiteit van Amsterdam)
Ming Yuan
(Columbia University)