Introducing the p-Laplacian spectra I Cohen, G Gilboa Signal Processing 167, 107281, 2020 | 19* | 2020 |
Modes of homogeneous gradient flows I Cohen, O Azencot, P Lifshits, G Gilboa SIAM Journal on Imaging Sciences 14 (3), 913-945, 2021 | 16* | 2021 |
Energy dissipating flows for solving nonlinear eigenpair problems I Cohen, G Gilboa Journal of Computational Physics 375, 1138-1158, 2018 | 11 | 2018 |
Latent Modes of Nonlinear Flows: A Koopman Theory Analysis I Cohen, G Gilboa Elements in Non-local Data Interactions: Foundations and Applications, 2023 | 9* | 2023 |
Total-Variation Mode Decomposition I Cohen, T Berkov, G Gilboa Scale Space and Variational Methods in Computer Vision, 52, 2021 | 8 | 2021 |
Stable explicit p-Laplacian flows based on nonlinear eigenvalue analysis I Cohen, A Falik, G Gilboa Scale Space and Variational Methods in Computer Vision: 7th International …, 2019 | 8 | 2019 |
Functional Dimensionality of Koopman Eigenfunction Space I Cohen, E Appleboim, G Wolansky arXiv preprint arXiv:2401.02272, 2024 | 2 | 2024 |
Enhancing Neural Training via a Correlated Dynamics Model J Brokman, R Betser, R Turjeman, T Berkov, I Cohen, G Gilboa arXiv preprint arXiv:2312.13247, 2023 | 2 | 2023 |
Basis: batch aligned spectral embedding space O Streicher, I Cohen, G Gilboa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
The underlying correlated dynamics in neural training R Turjeman, T Berkov, I Cohen, G Gilboa arXiv preprint arXiv:2212.09040, 2022 | 2 | 2022 |
A Minimal Set of Koopman Eigenfunctions--Analysis and Numerics I Cohen, E Appleboim arXiv preprint arXiv:2303.05837, 2023 | 1 | 2023 |
Koopman Regularization I Cohen arXiv preprint arXiv:2403.11302, 2024 | | 2024 |
System and method of training a neural network model G Gilboa, R Turjeman, T Berkov, I Cohen US Patent App. 18/231,968, 2024 | | 2024 |
Total-Variation--Fast Gradient Flow and Relations to Koopman Theory I Cohen, T Berkov, G Gilboa arXiv preprint arXiv:2105.10044, 2021 | | 2021 |