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Avinatan Hassidim

Google Research, Tel-Aviv, Israel

Flood forecasting with machine learning models in an operational framework

Nov 04, 2021
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

* 36 pages, 10 figures, 3 tables, 1 supplementary table (9 pages) 

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Adversarial Robustness of Streaming Algorithms through Importance Sampling

Jun 28, 2021
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou

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

Apr 27, 2021
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri

* First four authors contributed equally. Project page: 

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ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach

Dec 06, 2020
Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias

* Submitted/accepted to NeurIPS HADR workshop: 

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An Optimal Elimination Algorithm for Learning a Best Arm

Jun 20, 2020
Avinatan Hassidim, Ron Kupfer, Yaron Singer

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Adversarially Robust Streaming Algorithms via Differential Privacy

Apr 13, 2020
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer

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Spectral Algorithm for Low-rank Multitask Regression

Oct 27, 2019
Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias

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Personalizing ASR for Dysarthric and Accented Speech with Limited Data

Jul 31, 2019
Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias

* 5 pages 

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Audio De-identification: A New Entity Recognition Task

Mar 17, 2019
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias

* Accepted to NAACL 2019 Industry Track 

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Learning and Generalization for Matching Problems

Feb 24, 2019
Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran

* 15 pages, added more details to the proof of Lemma 16, as well as a figure to illustrate the construction 

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ML for Flood Forecasting at Scale

Jan 28, 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

* The 2-page paper sent to NeurIPS 2018 AI for social good workshop 

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Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many

Jan 03, 2019
Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel

* The 4-page paper sent to NeurIPS 2018 AI for social good workshop 

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LSH Microbatches for Stochastic Gradients: Value in Rearrangement

Oct 05, 2018
Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias

* 13 pages 

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Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation

Aug 09, 2018
Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein

* ACM Trans. Graph. 37(4): 112:1-112:11 (2018) 
* Accepted to SIGGRAPH 2018. Project webpage: 

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Online Linear Quadratic Control

Jun 19, 2018
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar

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Planning and Learning with Stochastic Action Sets

May 07, 2018
Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans

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Submodular Optimization under Noise

Nov 04, 2016
Avinatan Hassidim, Yaron Singer

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