Avinatan Hassidim

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 107

Top Venues

CoRR

NeurIPS

AAAI

Publications

Liron David, Omer Berkman, Avinatan Hassidim, David Lazarov, Yossi Matias, Moti Yung
Cryptiny: Compacting Cryptography for Space-Restricted Channels and its Use-case for IoT-E2EE. IACR Cryptol. ePrint Arch. 2024 (2024)
Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Nitzan Tur, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
Probe-Based Study of Traffic Variability for the Design of Traffic Light Plans. COMSNETS (2024)
Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
Multi-turn Reinforcement Learning from Preference Human Feedback. CoRR (2024)
Jack Haddad, Nitzan Tur, Danny Veikherman, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Avishai Zagoury, Ori Rottenstreich, Dotan Emanuel, Avinatan Hassidim
Quantitative Approach for Coordination, at Scale, of Signalized Intersection Pairs. ECC (2024)
Ori Rottenstreich, Tom Kalvari, Nitzan Tur, Eliav Buchnik, Shai Ferster, Dan Karliner, Omer Litov, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
Estimating Daily Start Times of Periodic Traffic Light Plans from Traffic Trajectories. ECC (2024)
Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations. CoRR (2024)
Eden Hartman, Avinatan Hassidim, Yonatan Aumann, Erel Segal-Halevi
Leximin Approximation: From Single-Objective to Multi-Objective. CoRR (2023)
Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney Lyles, Charles Lau, Christopher Semturs, Dale R. Webster, Gregory S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko
Using generative AI to investigate medical imagery models and datasets. CoRR (2023)
Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR (2023)
Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR (2023)
Eden Hartman, Avinatan Hassidim, Yonatan Aumann, Erel Segal-Halevi
Leximin Approximation: From Single-Objective to Multi-Objective. ECAI (2023)
Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) (2023)
Grey Nearing, Deborah Cohen, Vusumuzi Dube, Martin Gauch, Oren Gilon, Shaun Harrigan, Avinatan Hassidim, Frederik Kratzert, Asher Metzger, Sella Nevo, Florian Pappenberger, Christel Prudhomme, Guy Shalev, Shlomo Shenzis, Tadele Tekalign, Dana Weitzner, Yossi Matias
AI Increases Global Access to Reliable Flood Forecasts. CoRR (2023)
Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. CoRR (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. CoRR (2022)
Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung, Alon Ziv
Eddystone-EID: Secure and Private Infrastructural Protocol for BLE Beacons. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL (2022)
Amir Feder, Itay Laish, Shashank Agarwal, Uri Lerner, Avel Atias, Cathy Cheung, Peter Clardy, Alon Peled-Cohen, Rachana Fellinger, Hengrui Liu, Lan Huong Nguyen, Birju Patel, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim
Building a Clinically-Focused Problem List From Medical Notes. LOUHI@EMNLP (2022)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Adversarially Robust Streaming Algorithms via Differential Privacy. J. ACM 69 (6) (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT (2022)
Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung
Scaling up GAEN Pseudorandom Processes: Preparing for a More Extensive Pandemic. ESORICS (1) (2022)
Péter Biró, Avinatan Hassidim, Assaf Romm, Ran I. Shorrer, Sándor Sovago
The Large Core of College Admission Markets: Theory and Evidence. EC (2022)
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias
Flood forecasting with machine learning models in an operational framework. CoRR (2021)
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
Adversarial Robustness of Streaming Algorithms through Importance Sampling. NeurIPS (2021)
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
Adversarial Robustness of Streaming Algorithms through Importance Sampling. CoRR (2021)
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR (2021)
Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias
Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) (2021)
Avinatan Hassidim, Assaf Romm, Ran I. Shorrer
The Limits of Incentives in Economic Matching Procedures. Manag. Sci. 67 (2) (2021)
Avishai Zagoury, Orgad Keller, Avinatan Hassidim, Noam Hazon
Targeted Negative Campaigning: Complexity and Approximations. AAAI (2021)
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV (2021)
Avinatan Hassidim, Ron Kupfer, Yaron Singer
An Optimal Elimination Algorithm for Learning a Best Arm. CoRR (2020)
Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias
Customization scenarios for de-identification of clinical notes. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias
Dynamic Composition for Conversational Domain Exploration. WWW (2020)
Daniel Berend, Shlomi Dolev, Avinatan Hassidim, Marina Kogan-Sadetsky
Average-Case Competitive Ratio of Scheduling Algorithms of Multi-user Cache. CSCML (2020)
Erel Segal-Halevi, Avinatan Hassidim, Haris Aziz
Fair Allocation with Diminishing Differences. J. Artif. Intell. Res. 67 (2020)
Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics 107 (2020)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Adversarially Robust Streaming Algorithms via Differential Privacy. NeurIPS (2020)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Adversarially Robust Streaming Algorithms via Differential Privacy. CoRR (2020)
Erel Segal-Halevi, Shmuel Nitzan, Avinatan Hassidim, Yonatan Aumann
Envy-Free Division of Land. Math. Oper. Res. 45 (3) (2020)
Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach. CoRR (2020)
Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies. ALT (2020)
Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel
Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM (2020)
Avinatan Hassidim, Ron Kupfer, Yaron Singer
An Optimal Elimination Algorithm for Learning a Best Arm. NeurIPS (2020)
Ori Rottenstreich, Haim Kaplan, Avinatan Hassidim
Clustering in Hypergraphs to Minimize Average Edge Service Time. ACM Trans. Algorithms 16 (3) (2020)
Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
Learning and Generalization for Matching Problems. CoRR (2019)
Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias
Self-similar Epochs: Value in arrangement. ICML (2019)
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Audio De-identification - a New Entity Recognition Task. NAACL-HLT (2) (2019)
Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies. CoRR (2019)
Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias
Spectral Algorithm for Low-rank Multitask Regression. CoRR (2019)
Sella Nevo, Vova Anisimov, Gal Elidan, Ran El-Yaniv, Pete Giencke, Yotam Gigi, Avinatan Hassidim, Zach Moshe, Mor Schlesinger, Guy Shalev, Ajai Tirumali, Ami Wiesel, Oleg Zlydenko, Yossi Matias
ML for Flood Forecasting at Scale. CoRR (2019)
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Audio De-identification: A New Entity Recognition Task. CoRR (2019)
Orgad Keller, Avinatan Hassidim, Noam Hazon
New Approximations for Coalitional Manipulation in Scoring Rules. J. Artif. Intell. Res. 64 (2019)
Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
Learning to Screen. NeurIPS (2019)
Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. CoRR (2019)
Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. CoRR (2019)
Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. INTERSPEECH (2019)
Orgad Keller, Avinatan Hassidim, Noam Hazon
Approximating Weighted and Priced Bribery in Scoring Rules. J. Artif. Intell. Res. 66 (2019)
Slava Bronfman, Noga Alon, Avinatan Hassidim, Assaf Romm
Redesigning the Israeli Medical Internship Match. ACM Trans. Economics and Comput. 6 (3-4) (2018)
Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
Planning and Learning with Stochastic Action Sets. CoRR (2018)
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
Online Linear Quadratic Control. CoRR (2018)
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
Online Linear Quadratic Control. ICML (2018)
Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein
Looking to listen at the cocktail party: a speaker-independent audio-visual model for speech separation. ACM Trans. Graph. 37 (4) (2018)
Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
Planning and Learning with Stochastic Action Sets. IJCAI (2018)
Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias
LSH Microbatches for Stochastic Gradients: Value in Rearrangement. CoRR (2018)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
MUDA: A Truthful Multi-Unit Double-Auction Mechanism. AAAI (2018)
Orgad Keller, Avinatan Hassidim, Noam Hazon
Approximating Bribery in Scoring Rules. AAAI (2018)
Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation. CoRR (2018)
Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies. CoRR (2018)
Yaron Singer, Avinatan Hassidim
Optimization for Approximate Submodularity. NeurIPS (2018)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Double Auctions in Markets for Multiple Kinds of Goods. IJCAI (2018)
Orgad Keller, Avinatan Hassidim, Noam Hazon
New Approximations for Coalitional Manipulation in General Scoring Rules. CoRR (2017)
Ori Rottenstreich, Haim Kaplan, Avinatan Hassidim
Clustering in Hypergraphs to Minimize Average Edge Service Time. ESA (2017)
Avinatan Hassidim, Yaron Singer
Submodular Optimization under Noise. COLT (2017)
Avinatan Hassidim, Assaf Romm, Ran I. Shorrer
Redesigning the Israeli Psychology Master's Match. EC (2017)
Emilie Danna, Avinatan Hassidim, Haim Kaplan, Alok Kumar, Yishay Mansour, Danny Raz, Michal Segalov
Upward Max-Min Fairness. J. ACM 64 (1) (2017)
Orgad Keller, Avinatan Hassidim, Noam Hazon
New Approximation for Borda Coalitional Manipulation. AAMAS (2017)
Erel Segal-Halevi, Avinatan Hassidim
Truthful Bilateral Trade is Impossible even with Fixed Prices. CoRR (2017)
Avinatan Hassidim, Yaron Singer
Robust Guarantees of Stochastic Greedy Algorithms. ICML (2017)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
MUDA: A Truthful Multi-Unit Double-Auction Mechanism. CoRR (2017)
Erel Segal-Halevi, Haris Aziz, Avinatan Hassidim
Fair Allocation based on Diminishing Differences. CoRR (2017)
Erel Segal-Halevi, Haris Aziz, Avinatan Hassidim
Fair Allocation based on Diminishing Differences. IJCAI (2017)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Waste Makes Haste: Bounded Time Algorithms for Envy-Free Cake Cutting with Free Disposal. ACM Trans. Algorithms 13 (1) (2016)
Avinatan Hassidim, Yishay Mansour, Shai Vardi
Local Computation Mechanism Design. ACM Trans. Economics and Comput. 4 (4) (2016)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
SBBA: A Strongly-Budget-Balanced Double-Auction Mechanism. SAGT (2016)
Ori Rottenstreich, Isaac Keslassy, Avinatan Hassidim, Haim Kaplan, Ely Porat
Optimal In/Out TCAM Encodings of Ranges. IEEE/ACM Trans. Netw. 24 (1) (2016)
Avinatan Hassidim, Yaron Singer
Submodular Optimization under Noise. CoRR (2016)
Israel Sofer, David Sarne, Avinatan Hassidim
Negotiation in exploration-based environment. Auton. Agents Multi Agent Syst. 30 (4) (2016)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
SBBA: a Strongly-Budget-Balanced Double-Auction Mechanism. CoRR (2016)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
A Random-Sampling Double-Auction Mechanism. CoRR (2016)
Avinatan Hassidim, Assaf Romm, Ran I. Shorrer
"Strategic" Behavior in a Strategy-proof Environment. EC (2016)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Demand-flow of agents with gross-substitute valuations. Oper. Res. Lett. 44 (6) (2016)
Miklós Ajtai, Vitaly Feldman, Avinatan Hassidim, Jelani Nelson
Sorting and Selection with Imprecise Comparisons. ACM Trans. Algorithms 12 (2) (2016)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Noam Nisan
The AND-OR Game. ACM Trans. Economics and Comput. 5 (1) (2016)
Erel Segal-Halevi, Shmuel Nitzan, Avinatan Hassidim, Yonatan Aumann
Envy-Free Cake-Cutting in Two Dimensions. CoRR (2016)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Demand-Flow of Agents with Gross-Substitute Valuations. CoRR (2016)
Avinatan Hassidim, Yishay Mansour
Optimistic-Conservative Bidding in Sequential Auctions. CoRR (2015)
Erel Segal-Halevi, Shmuel Nitzan, Avinatan Hassidim, Yonatan Aumann
Fair and Square: Cake-Cutting in Two Dimensions. CoRR (2015)
Assaf Romm, Avinatan Hassidim
An Approximate Law of One Price in Random Assignment Games. EC (2015)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Waste Makes Haste: Bounded Time Protocols for Envy-Free Cake Cutting with Free Disposal. CoRR (2015)
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Envy-Free Cake-Cutting in Two Dimensions. AAAI (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Avinatan Hassidim