An Operator Approach to Tangent Vector Field Processing. - Omri Azencot; Mirela Ben-Chen; Frédéric Chazal; Maks Ovsjanikov (Comput. Graph. Forum, 2013)

Map-based exploration of intrinsic shape differences and variability. - Raif M. Rustamov; Maks Ovsjanikov; Omri Azencot; Mirela Ben-Chen; Frédéric Chazal; Leonidas J. Guibas (ACM Trans. Graph., 2013)

Functional Fluids on Surfaces. - Omri Azencot; Steffen Weißmann; Maks Ovsjanikov; Max Wardetzky; Mirela Ben-Chen (Comput. Graph. Forum, 2014)

Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach. - Omri Azencot; Maks Ovsjanikov; Frédéric Chazal; Mirela Ben-Chen (ACM Trans. Graph., 2015)

Advection-Based Function Matching on Surfaces. - Omri Azencot; Orestis Vantzos; Mirela Ben-Chen (Comput. Graph. Forum, 2016)

Consistent functional cross field design for mesh quadrangulation. - Omri Azencot; Etienne Corman; Mirela Ben-Chen; Maks Ovsjanikov (ACM Trans. Graph., 2017)

Functional Thin Films on Surfaces. - Orestis Vantzos; Omri Azencot; Max Wardetzky; Martin Rumpf; Mirela Ben-Chen (IEEE Trans. Vis. Comput. Graph., 2017)

Operator Representations in Geometry Processing. - Omri Azencot (2017)

An explicit structure-preserving numerical scheme for EPDiff. - Omri Azencot; Orestis Vantzos; Mirela Ben-Chen (Comput. Graph. Forum, 2018)

Consistent Shape Matching via Coupled Optimization. - Omri Azencot; Anastasia Dubrovina; Leonidas J. Guibas (Comput. Graph. Forum, 2019)

Elastic Correspondence between Triangle Meshes. - Danielle Ezuz; Behrend Heeren; Omri Azencot; Martin Rumpf; Mirela Ben-Chen (Comput. Graph. Forum, 2019)

Shape Analysis via Functional Map Construction and Bases Pursuit. - Omri Azencot; Rongjie Lai (CoRR, 2019)

Consistent Dynamic Mode Decomposition. - Omri Azencot; Wotao Yin; Andrea L. Bertozzi (SIAM J. Appl. Dyn. Syst., 2019)

Forecasting Sequential Data Using Consistent Koopman Autoencoders. - Omri Azencot; N. Benjamin Erichson; Vanessa Lin; Michael W. Mahoney (ICML, 2020)

Lipschitz Recurrent Neural Networks. - N. Benjamin Erichson; Omri Azencot; Alejandro F. Queiruga; Michael W. Mahoney (CoRR, 2020)

Mode Decomposition for Homogeneous Symmetric Operators. - Ido Cohen 001; Omri Azencot; Pavel Lifshitz; Guy Gilboa (CoRR, 2020)

Lipschitz Recurrent Neural Networks. - N. Benjamin Erichson; Omri Azencot; Alejandro F. Queiruga; Liam Hodgkinson; Michael W. Mahoney (ICLR, 2021)

A Data-Driven Approach to Functional Map Construction and Bases Pursuit. - Omri Azencot; Rongjie Lai (Comput. Graph. Forum, 2021)

A Koopman Approach to Understanding Sequence Neural Models. - Ilan Naiman; Omri Azencot (CoRR, 2021)

A Differential Geometry Perspective on Orthogonal Recurrent Models. - Omri Azencot; N. Benjamin Erichson; Mirela Ben-Chen; Michael W. Mahoney (CoRR, 2021)

Modes of Homogeneous Gradient Flows. - Ido Cohen 001; Omri Azencot; Pavel Lifshits; Guy Gilboa (SIAM J. Imaging Sci., 2021)

Eigenvalue initialisation and regularisation for Koopman autoencoders. - Jack W. Miller; Charles O'Neill; Navid C. Constantinou; Omri Azencot (CoRR, 2022)

An Operator Theoretic Approach for Analyzing Sequence Neural Networks. - Ilan Naiman; Omri Azencot (AAAI, 2023)

Multifactor Sequential Disentanglement via Structured Koopman Autoencoders. - Nimrod Berman; Ilan Naiman; Omri Azencot (ICLR, 2023)

Data Representations' Study of Latent Image Manifolds. - Ilya Kaufman; Omri Azencot (ICML, 2023)

Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation. - Ilan Naiman; Nimrod Berman; Omri Azencot (ICML, 2023)

An Elastic Basis for Spectral Shape Correspondence. - Florine Hartwig; Josua Sassen; Omri Azencot; Martin Rumpf; Mirela Ben-Chen (SIGGRAPH (Conference Paper Track), 2023)

Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. - Ilan Naiman; N. Benjamin Erichson; Pu Ren; Michael W. Mahoney; Omri Azencot (ICLR, 2024)

Sequential Disentanglement by Extracting Static Information From A Single Sequence Element. - Nimrod Berman; Ilan Naiman; Idan Arbiv; Gal Fadlon; Omri Azencot (ICML, 2024)

First-Order Manifold Data Augmentation for Regression Learning. - Ilya Kaufman; Omri Azencot (ICML, 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 (NeurIPS, 2024)

Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes. - Nimrod Berman; Eitan Kosman; Dotan Di Castro; 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)

Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting. - Liran Nochumsohn; Michal Moshkovitz; Orly Avner; Dotan Di Castro; Omri Azencot (CoRR, 2024)

Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning. - Ilya Kaufman; Omri Azencot (Trans. Mach. Learn. Res., 2024)

A Multi-Task Learning Approach to Linear Multivariate Forecasting. - Liran Nochumsohn; Hedi Zisling; Omri Azencot (AISTATS, 2025)

Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes. - Nimrod Berman; Eitan Kosman; Dotan Di Castro; Omri Azencot (Trans. Mach. Learn. Res., 2025)

Data Augmentation Policy Search for Long-Term Forecasting. - Liran Nochumsohn; Omri Azencot (Trans. Mach. Learn. Res., 2025)

One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling. - Nimrod Berman; Ilan Naiman; Moshe Eliasof; Hedi Zisling; Omri Azencot (CoRR, 2025)

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems. - N. Benjamin Erichson; Vinicius Mikuni; Dongwei Lyu; Yang Gao; Omri Azencot; Soon Hoe Lim; Michael W. Mahoney (CoRR, 2025)

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach. - Tal Gonen; Itai Pemper; Ilan Naiman; Nimrod Berman; Omri Azencot (CoRR, 2025)

Curvature Enhanced Data Augmentation for Regression. - Ilya Kaufman Sirot; Omri Azencot (CoRR, 2025)

Unraveling Hidden Representations: A Multi-Modal Layer Analysis for Better Synthetic Content Forensics. - Tom Or; Omri Azencot (CoRR, 2025)