Learning to Optimize with Dynamic Mode Decomposition

29 November 2022

Papers citing "Learning to Optimize with Dynamic Mode Decomposition"

7 / 7 papers shown

Title
Enhancing Neural Training via a Correlated Dynamics Model Jonathan Brokman Roy Betser Rotem Turjeman Tom Berkov I. Cohen Guy Gilboa 19 3 0 20 Dec 2023
Investigation into the Training Dynamics of Learned Optimizers Jan Sobotka Petr Simánek Daniel Vasata 26 0 0 12 Dec 2023
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing King Fai Yeh Paris D. L. Flood William T. Redman Pietro Lio' 22 1 0 15 May 2023
Identifying Equivalent Training Dynamics William T. Redman J. M. Bello-Rivas M. Fonoberova Ryan Mohr Ioannis G. Kevrekidis Igor Mezić 25 2 0 17 Feb 2023
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo Jiayu Shen Rumen Dangovski Marin Soljacic 16 5 0 02 Nov 2022
Training Learned Optimizers with Randomly Initialized Learned Optimizers Luke Metz C. Freeman Niru Maheswaranathan Jascha Narain Sohl-Dickstein 41 12 0 14 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 40 56 0 29 Dec 2020