OC
Omar Chehab
cs.LGstat.MLNeural Networks, Computerq-bio.NCstat.COasynchronous irregularclinical neurosciencecortical dynamicscs.AIcs.CV
On Valency
published · living versionsW_xeqskrbu·v1 · currentpublished
Compression Forcing: Hierarchical History Tokenization Enables Flexible World Models
with Siqiao Huang, Partha Kaushik, Michael Chen, Hengkai Pan +3
1 version
Preprints & journals
14 papers in the corpus · 2019–2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences2605.26850v1 · Hanlin Yu, RuiKang OuYang, Partha Kaushik et al.2026 · 0 citationsarXiv
Nano World Models: A Minimalist Implementation of Future Video Prediction2605.23993v2 · Siqiao Huang, Partha Kaushik, Michael Chen et al.2026 · 0 citationsarXiv
MVICAD2: Multi-View Independent Component Analysis With Delays and Dilations.41564109 · Heurtebise, Ambroise, Chehab, Omar, Ablin, Pierre et al.2026 · 0 citationsIEEE transactions on bio-medical engineering. 2026;73(2):945-952
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms2502.20115v5 · Ambroise Heurtebise, Omar Chehab, Pierre Ablin et al.2025 · 0 citationsarXiv
Density Ratio Estimation with Conditional Probability Paths2502.02300v3 · Hanlin Yu, Arto Klami, Aapo Hyvarinen et al.2025 · 0 citationsarXiv
MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations2501.07426v2 · Ambroise Heurtebise, Omar Chehab, Pierre Ablin et al.2025 · 0 citationsarXiv
Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion2501.00565v3 · Adrien Vacher, Omar Chehab, Anna Korba2024 · 0 citationsarXiv
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics2410.09697v2 · Omar Chehab, Anna Korba, Austin Stromme et al.2024 · 0 citationsarXiv
A Practical Diffusion Path for Sampling2406.14040v1 · Omar Chehab, Anna Korba2024 · 0 citationsarXiv
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond2310.03902v2 · Omar Chehab, Aapo Hyvarinen, Andrej Risteski2023 · 1 citationarXiv
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation2301.09696v1 · Omar Chehab, Alexandre Gramfort, Aapo Hyvarinen2023 · 0 citationsarXiv
Uncovering the structure of clinical EEG signals with self-supervised learning.33181507 · Banville, Hubert, Chehab, Omar, Hyvärinen, Aapo et al.2022 · 252 citationsJournal of neural engineering. 2021;18(4)
Deep Recurrent Encoder: A scalable end-to-end network to model brain signals2103.02339v3 · Omar Chehab, Alexandre Defossez, Jean-Christophe Loiseau et al.2021 · 3 citationsarXiv
A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models.31851573 · Carlu, M, Chehab, O, Dalla Porta, L et al.2021 · 58 citationsJournal of neurophysiology. 2020;123(3):1042-1051
Career total: 17 works. 14 are in this corpus.
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