Berman, Nimrod

10 publications

NeurIPS 2025 A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking Gal Fadlon, Idan Arbiv, Nimrod Berman, Omri Azencot

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

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

TMLR 2025 Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes Nimrod Berman, Eitan Kosman, Dotan Di Castro, 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

NeurIPS 2025 Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge Nimrod Berman, Omkar Joglekar, Eitan Kosman, Dotan Di Castro, 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

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