Ilan Naiman - RankMe

20 papers A* 6Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities. CoRR Hedi Zisling, Ilan Naiman, Nimrod Berman, Supasorn Suwajanakorn, Omri Azencot
2025	J	`jnl`	Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations. CoRR Tal Barami, Nimrod Berman, Ilan Naiman, Amos H. Hason, Rotem Ezra, Omri Azencot
2025	J	`jnl`	FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video. CoRR Rotem Ezra, Hedi Zisling, Nimrod Berman, Ilan Naiman, Alexey Gorkor, Liran Nochumsohn, Eliya Nachmani, Omri Azencot
2025	J	`jnl`	LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders. CoRR Ilan Naiman, Emanuel Ben Baruch, Oron Anschel, Alon Shoshan, Igor Kviatkovsky, Manoj Aggarwal, Gérard G. Medioni
2025	J	`jnl`	One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling. CoRR Nimrod Berman, Ilan Naiman, Moshe Eliasof, Hedi Zisling, Omri Azencot
2025	J	`jnl`	Scene-VLM: Multimodal Video Scene Segmentation via Vision-Language Models. CoRR Nimrod Berman, Adam Botach, Emanuel Ben Baruch, Shunit Haviv Hakimi, Asaf Gendler, Ilan Naiman, Erez Yosef, Igor Kviatkovsky
2025	J	`jnl`	Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach. CoRR Tal Gonen, Itai Pemper, Ilan Naiman, Nimrod Berman, Omri Azencot
2024	A*	`conf`	Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. ICLR Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot
2024	J	`jnl`	Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. CoRR Pu Ren, Rie Nakata, Maxime Lacour, Ilan Naiman, Nori Nakata, Jialin Song, Zhengfa Bi, Osman Asif Malik, Dmitriy Morozov, Omri Azencot, N. Benjamin Erichson, Michael W. Mahoney
2024	A*	`conf`	Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. ICML Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot
2024	J	`jnl`	Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. CoRR Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot
2024	A*	`conf`	Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series. NeurIPS Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot
2024	J	`jnl`	Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series. CoRR Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot
2023	A*	`conf`	An Operator Theoretic Approach for Analyzing Sequence Neural Networks. AAAI Ilan Naiman, Omri Azencot
2023	J	`jnl`	Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. CoRR Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot
2023	A*	`conf`	Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. ICLR Nimrod Berman, Ilan Naiman, Omri Azencot
2023	J	`jnl`	Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. CoRR Nimrod Berman, Ilan Naiman, Omri Azencot
2023	A*	`conf`	Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. ICML Ilan Naiman, Nimrod Berman, Omri Azencot
2023	J	`jnl`	Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. CoRR Ilan Naiman, Nimrod Berman, Omri Azencot
2021	J	`jnl`	A Koopman Approach to Understanding Sequence Neural Models. CoRR Ilan Naiman, Omri Azencot