Itai Gat

According to our database1, Itai Gat authored at least 27 papers between 2018 and 2024.

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Bibliography

2024
Generator Matching: Generative modeling with arbitrary Markov processes.
CoRR, 2024

Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.
CoRR, 2024

Discrete Flow Matching.
CoRR, 2024

Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation.
CoRR, 2024

SpiRit-LM: Interleaved Spoken and Written Language Model.
CoRR, 2024

D-Flow: Differentiating through Flows for Controlled Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Masked Audio Generation using a Single Non-Autoregressive Transformer.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Layer Collaboration in the Forward-Forward Algorithm.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Code Llama: Open Foundation Models for Code.
CoRR, 2023

AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation.
CoRR, 2023

Textually Pretrained Speech Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simple and Controllable Music Generation.
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.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.
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.
CoRR, 2022

On the Importance of Gradient Norm in PAC-Bayesian Bounds.
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.
Proceedings of the International Conference on Machine Learning, 2022

Speech Emotion Recognition Using Self-Supervised Features.
Proceedings of the IEEE International Conference on Acoustics, 2022

Speaker Normalization for Self-Supervised Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards A Common Speech Analysis Engine.
Proceedings of the IEEE International Conference on Acoustics, 2022

Latent Space Explanation by Intervention.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Perceptual Score: What Data Modalities Does Your Model Perceive?
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.
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.
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.
Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, 2018


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