Itai Gat

According to our database, Itai Gat authored at least 33 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Transition Matching: Scalable and Flexible Generative Modeling.

Neta Shaul, Uriel Singer, Itai Gat, Yaron Lipman

CoRR, June, 2025

Edit Flows: Flow Matching with Edit Operations.

Marton Havasi, Brian Karrer, Itai Gat, Ricky T. Q. Chen

CoRR, June, 2025

Corrector Sampling in Language Models.

Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman

CoRR, June, 2025

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking.

Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer

CoRR, May, 2025

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective.

Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.

Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generator Matching: Generative modeling with arbitrary Markov processes.

Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi S. Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Flow Matching Guide and Code.

Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T. Q. Chen, David Lopez-Paz, Heli Ben-Hamu, Itai Gat

CoRR, 2024

SpiRit-LM: Interleaved Spoken and Written Language Model.

Tu Anh Nguyen, Benjamin Muller, Bokai Yu, Marta R. Costa-jussà, Maha Elbayad, Sravya Popuri, Paul-Ambroise Duquenne, Robin Algayres, Ruslan Mavlyutov, Itai Gat, Gabriel Synnaeve, Juan Pino, Benoît Sagot, Emmanuel Dupoux

CoRR, 2024

Discrete Flow Matching.

Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation.

Or Tal, Alon Ziv, Itai Gat, Felix Kreuk, Yossi Adi

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

D-Flow: Differentiating through Flows for Controlled Generation.

Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Masked Audio Generation using a Single Non-Autoregressive Transformer.

Alon Ziv, Itai Gat, Gaël Le Lan, Tal Remez, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Yossi Adi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation.

Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Layer Collaboration in the Forward-Forward Algorithm.

Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Code Llama: Open Foundation Models for Code.

Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve

CoRR, 2023

AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation.

Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz

CoRR, 2023

Textually Pretrained Speech Language Models.

Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simple and Controllable Music Generation.

Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling.

Itai Gat, Felix Kreuk, Tu Anh Nguyen, Ann Lee, Jade Copet, Gabriel Synnaeve, Emmanuel Dupoux, Yossi Adi

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation.

Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

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, Yossi Adi, Emmanuel Dupoux

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

On The Robustness of Self-Supervised Representations for Spoken Language Modeling.

Itai Gat, Felix Kreuk, Ann Lee, Jade Copet, Gabriel Synnaeve, Emmanuel Dupoux, Yossi Adi

CoRR, 2022

On the Importance of Gradient Norm in PAC-Bayesian Bounds.

Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Functional Information Perspective on Model Interpretation.

Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan

Proceedings of the International Conference on Machine Learning, 2022

Speech Emotion Recognition Using Self-Supervised Features.

Edmilson da Silva Morais, Ron Hoory, Weizhong Zhu, Itai Gat, Matheus Damasceno, Hagai Aronowitz

Proceedings of the IEEE International Conference on Acoustics, 2022

Speaker Normalization for Self-Supervised Speech Emotion Recognition.

Itai Gat, Hagai Aronowitz, Weizhong Zhu, Edmilson da Silva Morais, Ron Hoory

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards A Common Speech Analysis Engine.

Hagai Aronowitz, Itai Gat, Edmilson da Silva Morais, Weizhong Zhu, Ron Hoory

Proceedings of the IEEE International Conference on Acoustics, 2022

Latent Space Explanation by Intervention.

Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Perceptual Score: What Data Modalities Does Your Model Perceive?

Itai Gat, Idan Schwartz, Alexander G. Schwing

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions.

Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies.

Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Venilia, On-line Learning and Prediction of Vessel Destination.

Moti Bachar, Gal Elimelech, Itai Gat, Gil Sobol, Nicolo Rivetti, Avigdor Gal

Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, 2018