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 10, 2024
CORE MACHINE LEARNING
Flow Matching Guide and Code
Peter Holderrieth, Neta Shaul, Heli Ben Hamu, Yaron Lipman, Brian Karrer, David Lopez-Paz, Itai Gat, Marton Havasi, Matt Le, Ricky Chen
December 10, 2024
December 09, 2024
NLP
CORE MACHINE LEARNING
Discrete flow matching
Yaron Lipman, Felix Kreuk, Gabriel Synnaeve, Itai Gat, Ricky Chen, Tal Remez, Yossef (Yossi) Adi, Neta Shaul
December 09, 2024
June 17, 2024
HUMAN & MACHINE INTELLIGENCE
COMPUTER VISION
D-Flow: Differentiating through Flows for Controlled Generation
Omri Puny, Yaron Lipman, Brian Karrer, Heli Ben Hamu, Itai Gat, Uriel Singer
June 17, 2024
August 24, 2023
NLP
CORE MACHINE LEARNING
Code Llama: Open Foundation Models for Code
Faisal Azhar, Aaron Grattafiori, Alexandre Defossez, Artyom Kozhevnikov, Baptiste Rozière, Cristian Canton Ferrer, Ellen Tan, Fabian Gloeckle, Gabriel Synnaeve, Hugo Touvron, Itai Gat, Ivan Evtimov, Jade Copet, Jingyu Liu, Joanna Bitton, Jonas Gehring, Jérémy Rapin, Louis Martin, Manish Bhatt, Nicolas Usunier, Sten Sootla, Tal Remez, Thomas Scialom, Wenhan Xiong, Yossef (Yossi) Adi
August 24, 2023
August 19, 2023
NLP
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
Yossef Mordechay Adi, Antony D'Avirro, Bowen Shi, Emmanuel Dupoux, Felix Kreuk, Gabriel Synnaeve, Itai Gat, Jade Copet, Maryam Fazel-Zarandi, Michael Hassid, Tal Remez, Tu Anh Nguyen, Wei-Ning Hsu
August 19, 2023
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