I am a Senior Lecturer (Assistant Professor) in the Computer Science Department at Ben-Gurion University of the Negev. I am primarily interested in deep learning modeling of sequential information.

I am looking for students and postdocs, please contact me if you are interested!

Contact Info:

Ben-Gurion University of the Negev (BGU)
Computer Science Department
Alon Building, room 208
BGU, Beer-Sheva, Israel
Phone: +972 (8) 647-7879
Email: azencot@cs.bgu.ac.il

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ALL PUBLICATIONS »
    • 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

    ALL PUBLICATIONS »

    ALL NEWS »
      • One paper accepted to NeurIPS’24!
        Sep25Comments 0

        One paper accepted to NeurIPS’24!

        One paper accepted to NeurIPS'24: "Utilizing Image Transforms and Diffusion Models for Generative Modeling of…

      • One paper accepted to TMLR!
        Sep20Comments 0

        One paper accepted to TMLR!

        One paper was accepted to TMLR: "Geometric Analysis of Transformer Time Series Forecasting Latent Manifolds"…

      • One paper accepted to JAMA Network!
        Jul16Comments 0

        One paper accepted to JAMA Network!

        One paper was accepted to JAMA Network: Automated identification and quantification of stereotypical movements from…

      • Three students received BGU awards
        Jun21Comments 0

        Three students received BGU awards

        Ilan Naiman (a PhD student) is on the Dean's list for PhD students (top 5%…

      • Two papers accepted to ICML’24!
        May02Comments 0

        Two papers accepted to ICML’24!

        Two papers accepted to ICML’24: 1. "Sequential Disentanglement by Extracting Static Information From A Single…

      • One paper was accepted to ICLR’24
        Jan17Comments 0

        One paper was accepted to ICLR’24

        One paper was accepted to ICLR'24: Generative Modeling of Regular and Irregular Time Series Data…

      ALL NEWS »
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