About

This workshop will bring together experts to discuss various aspects of the matrix multiplication problem on the spectrum from purely mathematical to applied. These are the  tensor rank and group-theoretic approaches to matrix multiplication (including new approaches from algebraic geometry and commutative algebra), the numerical stability of matrix multiplication, probabilistic methods for reducing leading constants in matrix multiplication, and communication lower and upper bounds for matrix multiplication.

If you require special accommodation, please contact our access coordinator at simonsevents@berkeley.edu with as much advance notice as possible.

Please note: the Simons Institute regularly captures photos and video of activity around the Institute for use in videos, publications, and promotional materials. 

Chairs/Organizers
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(Microsoft Research New England)
Invited Participants

Josh Alman (Columbia University), Chia-Yu Chang (Institut de Mathématiques de Toulouse - Université de Toulouse), Matthias Christandl (University of Copenhagen), Henry Cohn (MIT), Austin Conner (Harvard University), Harm Derksen (Northeastern University), Ran Duan (Tsinghua University), Emilien Dupont (Google DeepMind), Fulvio Gesmundo (Institut de Mathématiques de Toulouse - Université de Toulouse), Olga Holtz (UC Berkeley), Hang Huang (Texas A&M University), Petteri Kaski (Aalto University), Manuel Kauers (Johannes Kepler University), Tomasz Mańdziuk (Texas A&M University), Yoav Moran (Hebrew University), Giorgio Maria Ottaviani (Università di Firenze), Victor Pan (Lehman College (CUNY)), Oded Schwartz (Hebrew University of Jerusalem), Alexandre Sedoglavic (Université de Lille), Chris Umans (California Institute of Technology), Virginia Vassilevska Williams (Massachusetts Institute of Technology), Omri Weinstein (Hebrew University), Yinzhan Xu (UCSD), Renfei Zhou (Carnegie Mellon University), Jeroen Zuiddam (University of Amsterdam)