Event Date
"Tensor Decompositions: New Connections and Unified Theories"
TUESDAY, JANUARY 30, 2024, 3:10-4:00PM (REFRESHMENTS AT 2:30 PM)
Zoom Link: https://ucdavis.zoom.us/j/93261645333
Information
Campus location: 1131 Kemper Hall
Presented By: Benjamin Lovitz; NSF Postdoc and Zelevinsky Fellow, Northeastern University
Sponsored By: The Department of Computer Science
Host: Isaac Kim, Assistant Professor, Computer Science
Bio
Benjamin Lovitz is a postdoctoral fellow at Northeastern University, studying algorithmic problems in quantum information, machine learning, and applied algebraic geometry. Previously, Ben obtained his PhD from the University of Waterloo under the supervision of John Watrous and William Slofstra. Ben is supported by an NSF postdoctoral fellowship.
Abstract
A tensor is a multi-indexed array of numbers. Tensor decompositions (decompositions of a tensor into smaller “building blocks”) have powerful applications in diverse areas such as complexity theory, quantum computing, and machine learning. Using tensor decompositions as a catalyst, I will describe new connections and unified theories for problems at the interface of these areas.