| Code llama: Open foundation models for code B Roziere, J Gehring, F Gloeckle, S Sootla, I Gat, XE Tan, Y Adi, J Liu, ... arXiv preprint arXiv:2308.12950, 2023 | 822 | 2023 |
| Simple and Controllable Music Generation J Copet, F Kreuk, I Gat, T Remez, D Kant, G Synnaeve, Y Adi, A Défossez Advances in Neural Information Processing Systems (NeurIPS) 37, 2023 | 210 | 2023 |
| Speech Emotion Recognition using Self-Supervised Features E Morais, R Hoory, W Zhu, I Gat, M Damasceno, H Aronowitz IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022 | 111 | 2022 |
| Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies I Gat, I Schwartz, A Schwing, T Hazan Advances in Neural Information Processing Systems (NeurIPS) 34, 2020 | 80 | 2020 |
| Speaker Normalization for Self-supervised Speech Emotion Recognition I Gat, A Hagai, W Zhu, E Morais, R Hoory International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 | 49 | 2022 |
| Textually Pretrained Speech Language Models M Hassid, T Remez, TA Nguyen, I Gat, A Conneau, F Kreuk, J Copet, ... Advances in Neural Information Processing Systems (NeurIPS) 37, 2023 | 30 | 2023 |
| Perceptual Score: What Data Modalities Does Your Model Perceive? I Gat, I Schwartz, A Schwing Advances in Neural Information Processing Systems (NeurIPS) 35, 2021 | 28 | 2021 |
| Expresso: A benchmark and analysis of discrete expressive speech resynthesis TA Nguyen, WN Hsu, A d'Avirro, B Shi, I Gat, M Fazel-Zarani, T Remez, ... arXiv preprint arXiv:2308.05725, 2023 | 21 | 2023 |
| Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions D Rosenberg, I Gat, A Feder, R Reichart Association for Computational Linguistics (ACL) 59, 2021 | 17 | 2021 |
| Code llama: Open foundation models for code.(2023) B Rozière, J Gehring, F Gloeckle, S Sootla, I Gat, XE Tan, Y Adi, J Liu, ... arXiv preprint arXiv:2308.12950, 2023 | 16 | 2023 |
| Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling I Gat, F Kreuk, TA Nguyen, A Lee, J Copet, G Synnaeve, E Dupoux, Y Adi Proceedings of the 20th International Conference on Spoken Language …, 2023 | 14* | 2023 |
| Latent Space Explanation by Intervention I Gat, G Lorberbom, I Schwartz, T Hazan Proceedings of the AAAI Conference on Artificial Intelligence 36, 2021 | 14 | 2021 |
| Masked audio generation using a single non-autoregressive transformer A Ziv, I Gat, GL Lan, T Remez, F Kreuk, A Défossez, J Copet, G Synnaeve, ... arXiv preprint arXiv:2401.04577, 2024 | 13 | 2024 |
| Audiotoken: Adaptation of text-conditioned diffusion models for audio-to-image generation G Yariv, I Gat, L Wolf, Y Adi, I Schwartz arXiv preprint arXiv:2305.13050, 2023 | 13 | 2023 |
| Diverse and aligned audio-to-video generation via text-to-video model adaptation G Yariv, I Gat, S Benaim, L Wolf, I Schwartz, Y Adi Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 6639-6647, 2024 | 8 | 2024 |
| Spirit-lm: Interleaved spoken and written language model TA Nguyen, B Muller, B Yu, MR Costa-Jussa, M Elbayad, S Popuri, ... arXiv preprint arXiv:2402.05755, 2024 | 4 | 2024 |
| On the importance of gradient norm in pac-bayesian bounds I Gat, Y Adi, A Schwing, T Hazan Advances in Neural Information Processing Systems 35, 16068-16081, 2023 | 4 | 2023 |
| Layer collaboration in the forward-forward algorithm G Lorberbom, I Gat, Y Adi, A Schwing, T Hazan Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14141 …, 2024 | 3 | 2024 |
| A Functional Information Perspective on Model Interpretation I Gat, N Calderon, R Reichart, T Hazan Proceedings of the International Conference on Machine Learning (ICML) 39, 2022 | 3 | 2022 |
| D-Flow: Differentiating through Flows for Controlled Generation H Ben-Hamu, O Puny, I Gat, B Karrer, U Singer, Y Lipman arXiv preprint arXiv:2402.14017, 2024 | 2 | 2024 |
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyBestätigte E-Mail-Adresse bei technion.ac.il
