Ilan Naiman

According to our database, Ilan Naiman authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

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

CoRR, 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

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