Itai Gat
AI RESEARCH | TEL AVIV, ISRAEL
Itai Gat is a researcher at Meta FAIR, where he focuses on generative models, with a particular emphasis on discrete spaces. He earned his PhD from the Technion, where he worked on analysis of deep neural networks.
Research Areas
Itai's Publications
December 09, 2024
NLP
CORE MACHINE LEARNING
Discrete flow matching
Itai Gat, Tal Remez, Felix Kreuk, Ricky Chen, Gabriel Synnaeve, Yossef (Yossi) Adi, Yaron Lipman, Neta Shaul
December 09, 2024
June 17, 2024
HUMAN & MACHINE INTELLIGENCE
COMPUTER VISION
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
June 17, 2024
August 24, 2023
NLP
CORE MACHINE LEARNING
Code Llama: Open Foundation Models for Code
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Ellen Tan, Yossef (Yossi) Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Defossez, Jade Copet, Faisal Azhar, Hugo Touvron, Gabriel Synnaeve, Louis Martin, Nicolas Usunier, Thomas Scialom
August 24, 2023
August 19, 2023
NLP
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarandi, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossef Mordechay Adi, Emmanuel Dupoux
August 19, 2023
Foundational models
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