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    A Multi-Task Learning Approach to Linear Multivariate Forecasting

    Nochumsohn, Zisling, Azencot

    Data Augmentation Policy Search for Long-Term Forecasting

    Nochumsohn, Azencot

    Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes

    Berman, Kosman, Di Castro, Azencot

    Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series

    Naiman*, Berman*, Pemper, Arbiv, Fadlon, Azencot

    Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning

    Kaufman, Azencot

    Automated analysis of stereotypical movements in video recordings of children with Autism Spectrum Disorder

    Barami, Manelis-Baram, Kaiser, Ilan, Slobodkin, Hadashi, Hadad, Waissengreen, Nitzan, Menashe, Michaelovsky, Begin, Zachor, Sadaka, Koler, Zagdon, Meiri, Azencot, Sharf, Dinstein

    First-Order Manifold Data Augmentation for Regression Learning

    Kaufman, Azencot

    Sequential Disentanglement by Extracting Static Information From A Single Sequence Element

    Berman*, Naiman*, Arbiv*, Fadlon*, Azencot

    Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs

    Naiman, Erichson, Ren, Mahoney, Azencot

    Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation

    Naiman*, Berman*, Azencot

    Data Representations’ Study of Latent Image Manifolds

    Kaufman, Azencot

    An Elastic Basis for Spectral Shape Correspondence

    Hartwig, Sassen, Azencot, Rumpf, Ben-Chen

    Multifactor Sequential Disentanglement via Structured Koopman Autoencoders

    Berman*, Naiman*, Azencot

    An Operator Theoretic Approach for Analyzing Sequence Neural Networks

    Naiman, Azencot

    A Differential Geometry Perspective on Orthogonal Recurrent Models

    Azencot, Erichson, Ben-Chen, Mahoney

    Lipschitz Recurrent Neural Networks

    Erichson, Azencot, Queiruga, Hodgkinson, Mahoney

    Modes of Homogeneous Gradient Flows

    Cohen, Azencot, Lifshits, Gilboa

    Forecasting Sequential Data Using Consistent Koopman Autoencoders

    Azencot, Erichson, Lin, Mahoney

    Operator-Based Representations of Discrete Tangent Vector Fields

    Ben-Chen, Azencot

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

    Azencot, Lai

    Consistent Dynamic Mode Decomposition

    Azencot, Yin, Bertozzi

    Consistent Shape Matching via Coupled Optimization

    Azencot, Dubrovina, Guibas

    Elastic Correspondence between Triangle Meshes

    Ezuz, Heeren, Azencot, Rumpf, Ben-Chen

    An explicit structure-preserving numerical scheme for EPDiff

    Azencot, Vantzos, Ben-Chen

    Consistent Functional Cross Field Design for Mesh Quadrangulation

    Azencot, Corman, Ben-Chen, Ovsjanikov

    Functional Thin Films on Surfaces (journal version)

    Vantzos, Azencot, Wardetzky, Rumpf, Ben-Chen

    Advection-Based Function Matching on Surfaces

    Azencot, Vantzos, Ben-Chen

    Functional Thin Films on Surfaces

    Azencot, Vantzos, Wardetzky, Rumpf, Ben-Chen

    Discrete Derivatives of Vector Fields on Surfaces – An Operator Approach

    Azencot, Ovsjanikov, Chazal, Ben-Chen

    Functional Fluids on Surfaces

    Azencot, Weißmann, Ovsjanikov, Wardetzky, Ben-Chen

    An Operator Approach to Tangent Vector Field Processing

    Azencot, Ben-Chen, Chazal, Ovsjanikov

    Map-Based Exploration of Intrinsic Shape Differences and Variability

    Rustamov, Ovsjanikov, Azencot, Ben-Chen, Chazal, Guibas

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