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@bgu.ac.il

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ALL PUBLICATIONS »
    • 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

    ALL PUBLICATIONS »

    ALL NEWS »
      • One paper accepted to AISTATS!
        Jan22Comments 0

        One paper accepted to AISTATS!

        One paper was accepted to AISTATS: "A Multi-Task Learning Approach to Linear Multivariate Forecasting." by…

      • One paper accepted to TMLR!
        Jan14Comments 0

        One paper accepted to TMLR!

        One paper was accepted to TMLR: "Data Augmentation Policy Search for Long-Term Forecasting." by Liran…

      • One paper accepted to TMLR!
        Dec07Comments 0

        One paper accepted to TMLR!

        One paper was accepted to TMLR: "Reviving Life on the Edge: Joint Score-Based Graph Generation…

      • 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…

      ALL NEWS »
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