Energy dissipating flows for solving nonlinear eigenpair problems. - Ido Cohen 001; Guy Gilboa (J. Comput. Phys., 2018)

Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis. - Ido Cohen 001; Adi Falik; Guy Gilboa (SSVM, 2019)

Mode Decomposition for Homogeneous Symmetric Operators. - Ido Cohen 001; Omri Azencot; Pavel Lifshitz; Guy Gilboa (CoRR, 2020)

Introducing the p-Laplacian spectra. - Ido Cohen 001; Guy Gilboa (Signal Process., 2020)

Total-Variation Mode Decomposition. - Ido Cohen 001; Tom Berkov; Guy Gilboa (SSVM, 2021)

Modes of Homogeneous Gradient Flows. - Ido Cohen 001; Omri Azencot; Pavel Lifshits; Guy Gilboa (SIAM J. Imaging Sci., 2021)

The Underlying Correlated Dynamics in Neural Training. - Rotem Turjeman; Tom Berkov; Ido Cohen 001; Guy Gilboa (CoRR, 2022)

BASiS: Batch Aligned Spectral Embedding Space. - Or Streicher; Ido Cohen 001; Guy Gilboa (CVPR, 2023)

Enhancing Neural Training via a Correlated Dynamics Model. - Jonathan Brokman; Roy Betser; Rotem Turjeman; Tom Berkov; Ido Cohen 001; Guy Gilboa (ICLR, 2024)

Measuring the Data. - Ido Cohen 001 (CoRR, 2025)