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Avinatan Hassidim

Avinatan Hassidim

D-Index & Metrics

Computer Science

D-Index
34
Citations
8170
World Ranking
11936
National Ranking
184

Overview

Avinatan Hassidim is affiliated with Bar-Ilan University in Israel and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, signal processing, and cognitive neuroscience. Their work spans several interdisciplinary domains, including global and planetary change as well as computer networks and communications.

Their research topics cover a range of areas that intersect technology and science, including music and audio processing, topic modeling, neurobiology of language and bilingualism, flood risk assessment and management, hydrological forecasting using AI, machine learning in healthcare, and hydrology and watershed management studies.

Hassidim has a substantial publication record with frequent contributions to major scientific venues. These include arXiv (Cornell University) with 17 publications, Zenodo (CERN European Organization for Nuclear Research) with 11, and bioRxiv (Cold Spring Harbor Laboratory) with 5. Other venues where their research appears are Nature Communications and the Proceedings of the AAAI Conference on Artificial Intelligence.

Some recent papers by Hassidim include:

  • Shared computational principles for language processing in humans and deep language models, 2022, published in Nature Neuroscience
  • Global prediction of extreme floods in ungauged watersheds, 2024, published in Nature
  • Flood forecasting with machine learning models in an operational framework, 2022, published in Hydrology and Earth System Sciences
  • Caravan - A global community dataset for large-sample hydrology, 2023, published in Scientific Data
  • Explaining in Style: Training a GAN to explain a classifier in StyleSpace, 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Hassidim has collaborated regularly with several co-authors, including Yossi Matias, Oren Gilon, Sella Nevo, Grey Nearing, and Guy Shalev. These collaborations have resulted in multiple joint publications, reflecting an active engagement with peers in their fields of study.

Best Publications

  • Quantum algorithm for linear systems of equations.

    Aram W. Harrow;Avinatan Hassidim;Seth Lloyd

  • Looking to listen at the cocktail party: a speaker-independent audio-visual model for speech separation

    Ariel Ephrat;Inbar Mosseri;Oran Lang;Tali Dekel

  • Shared computational principles for language processing in humans and deep language models

    Unknown

  • Flood forecasting with machine learning models in an operational framework

    Sella Nevo;Efrat Morin;Adi Gerzi Rosenthal;Asher Metzger

  • Flood forecasting with machine learning models in an operational framework

    Sella Nevo;Efrat Morin;Adi Gerzi Rosenthal;Asher Metzger

  • Broadcasting with Side Information

    N. Alon;E. Lubetzky;U. Stav;A. Weinstein

  • Local Graph Partitions for Approximation and Testing

    Avinatan Hassidim;Jonathan A. Kelner;Huy N. Nguyen;Krzysztof Onak

  • "Strategic" Behavior in a Strategy-proof Environment

    Avinatan Hassidim;Assaf Romm;Ran I. Shorrer

  • Fast quantum byzantine agreement

    Michael Ben-Or;Avinatan Hassidim

  • Movie recommender system for profit maximization

    Amos Azaria;Avinatan Hassidim;Sarit Kraus;Adi Eshkol

  • Adaptive versus nonadaptive strategies for quantum channel discrimination

    Aram W. Harrow;Avinatan Hassidim;Debbie W. Leung;John Watrous

  • Quantum money from knots

    Edward Farhi;David Gosset;Avinatan Hassidim;Andrew Lutomirski

  • Secure Multiparty Quantum Computation with (Only) a Strict Honest Majority

    Michael Ben-Or;Claude Crepeau;Daniel Gottesman;Avinatan Hassidim

  • Stability in Large Matching Markets with Complementarities

    Itai Ashlagi;Mark Braverman;Avinatan Hassidim

  • Explaining in Style: Training a GAN to explain a classifier in StyleSpace

    Oran Lang;Yossi Gandelsman;Michal Yarom;Yoav Wald

  • Personalizing ASR for Dysarthric and Accented Speech with Limited Data

    Joel Shor;Dotan Emanuel;Oran Lang;Omry Tuval

  • TRUE: Re-evaluating Factual Consistency Evaluation

    Unknown

  • The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)

    M. Ben Or;A. Hassidim

  • Monotonicity and Implementability

    Itai Ashlagi;Mark Braverman;Avinatan Hassidim;Dov Monderer

  • Topology discovery of sparse random graphs with few participants

    Animashree Anandkumar;Avinatan Hassidim;Jonathan A. Kelner

  • Topology discovery of sparse random graphs with few participants

    Animashree Anandkumar;Avinatan Hassidim;Jonathan Kelner

  • Breaking and making quantum money: toward a new quantum cryptographic protocol

    Andrew Lutomirski;Scott Aaronson;Edward Farhi;David Gosset

  • Thinking ahead: prediction in context as a keystone of language in humans and machines

    Ariel Goldstein;Zaid Zada;Eliav Buchnik;Mariano Schain

  • Sorting and Selection with Imprecise Comparisons

    Miklós Ajtai;Vitaly Feldman;Avinatan Hassidim;Jelani Nelson

  • Secure Multiparty Quantum Computation with (Only) a Strict Honest Majority

    Michael Ben-Or;Claude Crépeau;Daniel Gottesman;Avinatan Hassidim

  • Learning and Evaluating a Differentially Private Pre-trained Language Model

    Shlomo Hoory;Amir Feder;Avichai Tendler;Sofia Erell

  • Movie recommender system for profit maximization (short LBP)

    Amos Azaria;Avinatan Hassidim;Sarit Kraus;Adi Eshkol

Frequent Co-Authors

Haim Kaplan
Haim Kaplan Tel Aviv University
Yishay Mansour
Yishay Mansour Tel Aviv University
Yossi Matias
Yossi Matias Google (United States)
Mark Braverman
Mark Braverman Princeton University
Danny Raz
Danny Raz Technion – Israel Institute of Technology
Edith Cohen
Edith Cohen Tel Aviv University
Michael Ben-Or
Michael Ben-Or Hebrew University of Jerusalem
Michael P. Brenner
Michael P. Brenner University of Michigan–Ann Arbor

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