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cs.LG2023★ 1 cited
Enhancing Neural Training via a Correlated Dynamics Model
Jonathan Brokman, Roy Betser, Rotem Turjeman +3
As neural networks grow in scale, their training becomes both computationally demanding and rich in dynamics. Amidst the flourishing interest in these training dynamics, we present…
math.DS2023★ 1 cited
A Minimal Set of Koopman Eigenfunctions -- Analysis and Numerics
Ido Cohen, Eli Appleboim
Research on Koopman operator theory has focused on three key areas for several decades: the mathematical structure of the Koopman eigenfunction space, the basis of this space, and…