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

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)