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ORCIDIlan Naiman
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2020 – today
- 2024
[c5]Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot:
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. ICLR 2024- [c4]Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot:
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. ICML 2024 - [i6]Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot:
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. CoRR abs/2406.18131 (2024) - [i5]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:
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. CoRR abs/2407.15089 (2024) - 2023
- [c3]Ilan Naiman, Omri Azencot:
An Operator Theoretic Approach for Analyzing Sequence Neural Networks. AAAI 2023: 9268-9276 - [c2]Nimrod Berman, Ilan Naiman, Omri Azencot:
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. ICLR 2023 - [c1]Ilan Naiman, Nimrod Berman, Omri Azencot:
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. ICML 2023: 25694-25717 - [i4]Nimrod Berman, Ilan Naiman, Omri Azencot:
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. CoRR abs/2303.17264 (2023) - [i3]Ilan Naiman, Nimrod Berman, Omri Azencot:
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. CoRR abs/2305.15924 (2023) - [i2]Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot:
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. CoRR abs/2310.02619 (2023) - 2021
- [i1]Ilan Naiman, Omri Azencot:
A Koopman Approach to Understanding Sequence Neural Models. CoRR abs/2102.07824 (2021)
Coauthor Index
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