Ilan Naiman

According to our database, Ilan Naiman authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach.

Tal Gonen, Itai Pemper, Ilan Naiman, Nimrod Berman, Omri Azencot

CoRR, May, 2025

One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling.

Nimrod Berman, Ilan Naiman, Moshe Eliasof, Hedi Zisling, Omri Azencot

CoRR, May, 2025

LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders.

Ilan Naiman, Emanuel Ben Baruch, Oron Anschel, Alon Shoshan, Igor Kviatkovsky, Manoj Aggarwal, Gérard G. Medioni

CoRR, April, 2025

2024

Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling.

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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sequential Disentanglement by Extracting Static Information From A Single Sequence Element.

Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation.

Ilan Naiman, Nimrod Berman, Omri Azencot

Proceedings of the International Conference on Machine Learning, 2023

Multifactor Sequential Disentanglement via Structured Koopman Autoencoders.

Nimrod Berman, Ilan Naiman, Omri Azencot

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Operator Theoretic Approach for Analyzing Sequence Neural Networks.

Ilan Naiman, Omri Azencot

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

A Koopman Approach to Understanding Sequence Neural Models.

Ilan Naiman, Omri Azencot

CoRR, 2021