Naiman, Ilan

10 publications

NeurIPS 2025 Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations Tal Barami, Nimrod Berman, Ilan Naiman, Amos Haviv Hason, Rotem Ezra, Omri Azencot

ICCV 2025 LV-MAE: Learning Long Video Representations Through Masked-Embedding Autoencoders Ilan Naiman, Emanuel Ben-Baruch, Oron Anschel, Alon Shoshan, Igor Kviatkovsky, Manoj Aggarwal, Gerard Medioni

NeurIPS 2025 One-Step Offline Distillation of Diffusion-Based Models via Koopman Modeling Nimrod Berman, Ilan Naiman, Moshe Eliasof, Hedi Zisling, Omri Azencot

NeurIPS 2025 Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach Tal Gonen, Itai Pemper, Ilan Naiman, Nimrod Berman, Omri Azencot

ICLR 2024 Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot

ICML 2024 Sequential Disentanglement by Extracting Static Information from a Single Sequence Element Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot

NeurIPS 2024 Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot

AAAI 2023 An Operator Theoretic Approach for Analyzing Sequence Neural Networks Ilan Naiman, Omri Azencot

ICLR 2023 Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman, Ilan Naiman, Omri Azencot

ICML 2023 Sample and Predict Your Latent: Modality-Free Sequential Disentanglement via Contrastive Estimation Ilan Naiman, Nimrod Berman, Omri Azencot