Omri Azencot

According to our database, Omri Azencot authored at least 35 papers between 2013 and 2024.

Collaborative distances:

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

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

Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning.

Ilya Kaufman, 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

Data Augmentation Policy Search for Long-Term Forecasting.

Liran Nochumsohn, Omri Azencot

CoRR, 2024

Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes.

Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot

CoRR, 2024

First-Order Manifold Data Augmentation for Regression Learning.

Ilya Kaufman, Omri Azencot

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

An Elastic Basis for Spectral Shape Correspondence.

Florine Hartwig, Josua Sassen, Omri Azencot, Martin Rumpf, Mirela Ben-Chen

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 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

Data Representations' Study of Latent Image Manifolds.

Ilya Kaufman, 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

2022

Eigenvalue initialisation and regularisation for Koopman autoencoders.

Jack W. Miller, Charles O'Neill, Navid C. Constantinou, Omri Azencot

CoRR, 2022

2021

Modes of Homogeneous Gradient Flows.

Ido Cohen, Omri Azencot, Pavel Lifshits, Guy Gilboa

SIAM J. Imaging Sci., 2021

A Differential Geometry Perspective on Orthogonal Recurrent Models.

Omri Azencot, N. Benjamin Erichson, Mirela Ben-Chen, Michael W. Mahoney

CoRR, 2021

A Koopman Approach to Understanding Sequence Neural Models.

Ilan Naiman, Omri Azencot

CoRR, 2021

A Data-Driven Approach to Functional Map Construction and Bases Pursuit.

Omri Azencot, Rongjie Lai

Comput. Graph. Forum, 2021

Lipschitz Recurrent Neural Networks.

N. Benjamin Erichson, Omri Azencot, Alejandro F. Queiruga, Liam Hodgkinson, Michael W. Mahoney

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Mode Decomposition for Homogeneous Symmetric Operators.

Ido Cohen, Omri Azencot, Pavel Lifshitz, Guy Gilboa

CoRR, 2020

Lipschitz Recurrent Neural Networks.

N. Benjamin Erichson, Omri Azencot, Alejandro F. Queiruga, Michael W. Mahoney

CoRR, 2020

Forecasting Sequential Data Using Consistent Koopman Autoencoders.

Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Consistent Dynamic Mode Decomposition.

Omri Azencot, Wotao Yin, Andrea L. Bertozzi

SIAM J. Appl. Dyn. Syst., 2019

Shape Analysis via Functional Map Construction and Bases Pursuit.

Omri Azencot, Rongjie Lai

CoRR, 2019

Elastic Correspondence between Triangle Meshes.

Danielle Ezuz, Behrend Heeren, Omri Azencot, Martin Rumpf, Mirela Ben-Chen

Comput. Graph. Forum, 2019

Consistent Shape Matching via Coupled Optimization.

Omri Azencot, Anastasia Dubrovina, Leonidas J. Guibas

Comput. Graph. Forum, 2019

2018

An explicit structure-preserving numerical scheme for EPDiff.

Omri Azencot, Orestis Vantzos, Mirela Ben-Chen

Comput. Graph. Forum, 2018

2017

Operator Representations in Geometry Processing.

Omri Azencot

PhD thesis, 2017

Functional Thin Films on Surfaces.

Orestis Vantzos, Omri Azencot, Max Wardetzky, Martin Rumpf, Mirela Ben-Chen

IEEE Trans. Vis. Comput. Graph., 2017

Consistent functional cross field design for mesh quadrangulation.

Omri Azencot, Etienne Corman, Mirela Ben-Chen, Maks Ovsjanikov

ACM Trans. Graph., 2017

2016

Advection-Based Function Matching on Surfaces.

Omri Azencot, Orestis Vantzos, Mirela Ben-Chen

Comput. Graph. Forum, 2016

2015

Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach.

Omri Azencot, Maks Ovsjanikov, Frédéric Chazal, Mirela Ben-Chen

ACM Trans. Graph., 2015

2014

Functional Fluids on Surfaces.

Omri Azencot, Steffen Weißmann, Maks Ovsjanikov, Max Wardetzky, Mirela Ben-Chen

Comput. Graph. Forum, 2014

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

An Operator Approach to Tangent Vector Field Processing.

Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Maks Ovsjanikov

Comput. Graph. Forum, 2013