| Topological superconducting phases of weakly coupled quantum wires I Seroussi, E Berg, Y Oreg Physical Review B 89 (10), 104523, 2014 | 83 | 2014 |
| Segmentation and tracking of live cells in phase‐contrast images using directional gradient vector flow for snakes I Seroussi, D Veikherman, N Ofer, S Yehudai‐Resheff, K Keren Journal of microscopy 247 (2), 137-146, 2012 | 69 | 2012 |
| Separation of scales and a thermodynamic description of feature learning in some cnns I Seroussi, G Naveh, Z Ringel Nature Communications 14 (1), 908, 2023 | 59 | 2023 |
| Hitting the high-dimensional notes: An ode for sgd learning dynamics on glms and multi-index models E Collins-Woodfin, C Paquette, E Paquette, I Seroussi Information and Inference: A Journal of the IMA 13 (4), iaae028, 2024 | 12 | 2024 |
| Single‐and double‐Diffusion encoding MRI for studying ex vivo apparent axon diameter distribution in spinal cord white matter D Anaby, D Morozov, I Seroussi, S Hametner, N Sochen, Y Cohen NMR in Biomedicine 32 (12), e4170, 2019 | 12 | 2019 |
| Microscopic interpretation and generalization of the Bloch-Torrey equation for diffusion magnetic resonance I Seroussi, DS Grebenkov, O Pasternak, N Sochen Journal of Magnetic Resonance 277, 95-103, 2017 | 12 | 2017 |
| Directed polymers on infinite graphs C Cosco, I Seroussi, O Zeitouni Communications in mathematical physics 386 (1), 395-432, 2021 | 9 | 2021 |
| Spectral analysis of a non-equilibrium stochastic dynamics on a general network I Seroussi, N Sochen Scientific reports 8 (1), 14333, 2018 | 7 | 2018 |
| Lower bounds on the generalization error of nonlinear learning models I Seroussi, O Zeitouni IEEE transactions on information theory 68 (12), 7956-7970, 2022 | 6 | 2022 |
| Multi-Season Analysis Reveals the Spatial Structure of Disease Spread I Seroussi, N Levy, E Yom-Tov arXiv preprint arXiv:1902.04073, 2019 | 6 | 2019 |
| Grokking as a First Order Phase Transition in Two Layer Networks N Rubin, I Seroussi, Z Ringel The Twelfth International Conference on Learning Representations, 0 | 6* | |
| The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms E Collins-Woodfin, I Seroussi, BG Malaxechebarría, AW Mackenzie, ... arXiv preprint arXiv:2405.19585, 2024 | 1 | 2024 |
| Optimal minimax rate of learning interaction kernels X Wang, I Seroussi, F Lu arXiv preprint arXiv:2311.16852, 2023 | 1 | 2023 |
| On the use of multiple compartment epidemiological models to describe the dynamics of influenza in Europe I Seroussi, N Levy, D Paolotti, N Sochen, E Yom-Tov arXiv preprint arXiv:1906.08631, 2019 | 1 | 2019 |
| Bloch-Torrey simulation to quantify diffusion effects on multi-parametric sequences with application for MR fingerprinting I Seroussi, N Sochen, N Ben-Eliezer, O Pasternak Proceedings of the Joint Annual Meeting ISMRM-ESMRMB, 4267, 2018 | 1 | 2018 |
| Spectral-bias and kernel-task alignment in physically informed neural networks I Seroussi, A Miron, Z Ringel Machine Learning: Science and Technology 5 (3), 035048, 2024 | | 2024 |
| Speed Limits for Deep Learning I Seroussi, AA Alemi, M Helias, Z Ringel arXiv preprint arXiv:2307.14653, 2023 | | 2023 |
| Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks I Seroussi, A Miron, Z Ringel arXiv preprint arXiv:2307.06362, 2023 | | 2023 |
| Localization phase transition in stochastic dynamics on networks with hub topology I Seroussi, N Sochen Physica A: Statistical Mechanics and its Applications 554, 124636, 2020 | | 2020 |
| From Logistic Growth to Exponential Growth in a Population Dynamical Model I Seroussi, N Sochen arXiv preprint arXiv:1908.00068, 2019 | | 2019 |
