Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. - Nimrod Berman; Ilan Naiman; Omri Azencot (ICLR, 2023)

Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. - Ilan Naiman; Nimrod Berman; Omri Azencot (ICML, 2023)

Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. - Nimrod Berman; Ilan Naiman; Idan Arbiv; Gal Fadlon; Omri Azencot (ICML, 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 (NeurIPS, 2024)

Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes. - Nimrod Berman; Eitan Kosman; Dotan Di Castro; Omri Azencot (CoRR, 2024)

Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes. - Nimrod Berman; Eitan Kosman; Dotan Di Castro; Omri Azencot (Trans. Mach. Learn. Res., 2025)

One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling. - Nimrod Berman; Ilan Naiman; Moshe Eliasof; Hedi Zisling; Omri Azencot (CoRR, 2025)

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach. - Tal Gonen; Itai Pemper; Ilan Naiman; Nimrod Berman; Omri Azencot (CoRR, 2025)