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Ido Cohen
Ido Cohen
Electrical and Electronic Engineering, Ariel University
Verified email at ariel.ac.il - Homepage
Title
Cited by
Cited by
Year
Introducing the p-Laplacian spectra
I Cohen, G Gilboa
Signal Processing 167, 107281, 2020
132020
Modes of homogeneous gradient flows
I Cohen, O Azencot, P Lifshits, G Gilboa
SIAM Journal on Imaging Sciences 14 (3), 913-945, 2021
122021
Energy dissipating flows for solving nonlinear eigenpair problems
I Cohen, G Gilboa
Journal of Computational Physics 375, 1138-1158, 2018
102018
Total-Variation Mode Decomposition
I Cohen, T Berkov, G Gilboa
Scale Space and Variational Methods in Computer Vision, 52, 2021
82021
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
72019
Shape Preserving Flows and the p− Laplacian Spectra
I Cohen, G Gilboa
62018
Latent modes of nonlinear flows: A koopman theory analysis
I Cohen, G Gilboa
Elements in Non-local Data Interactions: Foundations and Applications, 2023
42023
Latent Modes of Nonlinear Flows--a Koopman Theory Analysis
I Cohen, G Gilboa
arXiv preprint arXiv:2107.07456, 2021
42021
The underlying correlated dynamics in neural training
R Turjeman, T Berkov, I Cohen, G Gilboa
arXiv preprint arXiv:2212.09040, 2022
22022
Mode Decomposition for Homogeneous Symmetric Operators
I Cohen, O Azencot, P Lifshitz, G Gilboa
preprint, 2020
22020
Functional Dimensionality of Koopman Eigenfunction Space
I Cohen, E Appleboim, G Wolansky
arXiv preprint arXiv:2401.02272, 2024
12024
A Minimal Set of Koopman Eigenfuncitons--Analysis and Numerics
I Cohen, E Appelboim
arXiv preprint arXiv:2303.05837, 2023
12023
Basis: batch aligned spectral embedding space
O Streicher, I Cohen, G Gilboa
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
Examining the Limitations of Dynamic Mode Decomposition through Koopman Theory Analysis
I Cohen, G Gilboa
preprint, 2021
12021
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
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
2023
Total-Variation--Fast Gradient Flow and Relations to Koopman Theory
I Cohen, T Berkov, G Gilboa
arXiv preprint arXiv:2105.10044, 2021
2021
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