Venilia, On-line Learning and Prediction of Vessel Destination. - Moti Bachar; Gal Elimelech; Itai Gat; Gil Sobol; Nicolo Rivetti; Avigdor Gal (DEBS, 2018)

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. - Itai Gat; Idan Schwartz; Alexander G. Schwing; Tamir Hazan (NeurIPS, 2020)

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. - Daniel Rosenberg; Itai Gat; Amir Feder; Roi Reichart (ACL/IJCNLP (2), 2021)

Perceptual Score: What Data Modalities Does Your Model Perceive? - Itai Gat; Idan Schwartz; Alexander G. Schwing (NeurIPS, 2021)

Latent Space Explanation by Intervention. - Itai Gat; Guy Lorberbom; Idan Schwartz; Tamir Hazan (AAAI, 2022)

Towards A Common Speech Analysis Engine. - Hagai Aronowitz; Itai Gat; Edmilson da Silva Morais; Weizhong Zhu; Ron Hoory (ICASSP, 2022)

Speaker Normalization for Self-Supervised Speech Emotion Recognition. - Itai Gat; Hagai Aronowitz; Weizhong Zhu; Edmilson da Silva Morais; Ron Hoory (ICASSP, 2022)

Speech Emotion Recognition Using Self-Supervised Features. - Edmilson da Silva Morais; Ron Hoory; Weizhong Zhu; Itai Gat; Matheus Damasceno; Hagai Aronowitz (ICASSP, 2022)

A Functional Information Perspective on Model Interpretation. - Itai Gat; Nitay Calderon; Roi Reichart; Tamir Hazan (ICML, 2022)

On the Importance of Gradient Norm in PAC-Bayesian Bounds. - Itai Gat; Yossi Adi; Alexander G. Schwing; Tamir Hazan (NeurIPS, 2022)

On The Robustness of Self-Supervised Representations for Spoken Language Modeling. - Itai Gat; Felix Kreuk; Ann Lee 001; Jade Copet; Gabriel Synnaeve; Emmanuel Dupoux; Yossi Adi (CoRR, 2022)

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; et al. (INTERSPEECH, 2023)

Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. - Guy Yariv; Itai Gat; Lior Wolf; Yossi Adi; Idan Schwartz (INTERSPEECH, 2023)

Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling. - Itai Gat; Felix Kreuk; Tu Anh Nguyen; Ann Lee 001; Jade Copet; Gabriel Synnaeve; Emmanuel Dupoux; Yossi Adi (IWSLT@ACL, 2023)

Simple and Controllable Music Generation. - Jade Copet; Felix Kreuk; Itai Gat; Tal Remez; David Kant; Gabriel Synnaeve; Yossi Adi; Alexandre Défossez (NeurIPS, 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 001; Yossi Adi (NeurIPS, 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)

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; et al. (CoRR, 2023)

Layer Collaboration in the Forward-Forward Algorithm. - Guy Lorberbom; Itai Gat; Yossi Adi; Alexander G. Schwing; Tamir Hazan (AAAI, 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 (AAAI, 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 (ICLR, 2024)

D-Flow: Differentiating through Flows for Controlled Generation. - Heli Ben-Hamu; Omri Puny; Itai Gat; Brian Karrer; Uriel Singer; Yaron Lipman (ICML, 2024)

Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation. - Or Tal; Alon Ziv; Itai Gat; Felix Kreuk; Yossi Adi (ISMIR, 2024)

Discrete Flow Matching. - Itai Gat; Tal Remez; Neta Shaul; Felix Kreuk; Ricky T. Q. Chen; Gabriel Synnaeve; Yossi Adi; Yaron Lipman (NeurIPS, 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 001; et al. (CoRR, 2024)

Flow Matching Guide and Code. - Yaron Lipman; Marton Havasi; Peter Holderrieth; Neta Shaul; Matt Le 001; Brian Karrer; Ricky T. Q. Chen; David Lopez-Paz; Heli Ben-Hamu; Itai Gat (CoRR, 2024)

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 (ICLR, 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 (ICLR, 2025)

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. - Neta Shaul; Itai Gat; Marton Havasi; Daniel Severo 001; Anuroop Sriram; Peter Holderrieth; Brian Karrer; Yaron Lipman; Ricky T. Q. Chen (ICLR, 2025)

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking. - Heli Ben-Hamu; Itai Gat; Daniel Severo 001; Niklas Nolte; Brian Karrer (CoRR, 2025)

Corrector Sampling in Language Models. - Itai Gat; Neta Shaul; Uriel Singer; Yaron Lipman (CoRR, 2025)

Edit Flows: Flow Matching with Edit Operations. - Marton Havasi; Brian Karrer; Itai Gat; Ricky T. Q. Chen (CoRR, 2025)

Transition Matching: Scalable and Flexible Generative Modeling. - Neta Shaul; Uriel Singer; Itai Gat; Yaron Lipman (CoRR, 2025)