| 2025 | AISTATS | A Multi-Task Learning Approach to Linear Multivariate Forecasting. | Liran Nochumsohn, Hedi Zisling, Omri Azencot |
| 2025 | ICML | Curvature Enhanced Data Augmentation for Regression. | Ilya Kaufman, Omri Azencot |
| 2024 | ICLR | Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. | Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot |
| 2024 | ICML | Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. | Nimrod Berman, Ilan Naiman, Idan Arbiv, Gal Fadlon, Omri Azencot |
| 2024 | ICML | First-Order Manifold Data Augmentation for Regression Learning. | Ilya Kaufman, Omri Azencot |
| 2023 | AAAI | An Operator Theoretic Approach for Analyzing Sequence Neural Networks. | Ilan Naiman, Omri Azencot |
| 2023 | ICLR | Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. | Nimrod Berman, Ilan Naiman, Omri Azencot |
| 2023 | ICML | Data Representations' Study of Latent Image Manifolds. | Ilya Kaufman, Omri Azencot |
| 2023 | ICML | Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. | Ilan Naiman, Nimrod Berman, Omri Azencot |
| 2023 | SIGGRAPH | An Elastic Basis for Spectral Shape Correspondence. | Florine Hartwig, Josua Sassen, Omri Azencot, Martin Rumpf, Mirela Ben-Chen |
| 2021 | ICLR | Lipschitz Recurrent Neural Networks. | N. Benjamin Erichson, Omri Azencot, Alejandro F. Queiruga, Liam Hodgkinson, Michael W. Mahoney |
| 2020 | ICML | Forecasting Sequential Data Using Consistent Koopman Autoencoders. | Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney |
| 2015 | SCA | Functional thin films on surfaces. | Omri Azencot, Orestis Vantzos, Max Wardetzky, Martin Rumpf, Mirela Ben-Chen |