Alexandre Défossez

According to our database, Alexandre Défossez authored at least 30 papers between 2014 and 2024.

Collaborative distances:

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

2024

The Sound Demixing Challenge 2023 - Music Demixing Track.

Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji

Trans. Int. Soc. Music. Inf. Retr., January, 2024

Audio Conditioning for Music Generation via Discrete Bottleneck Features.

Simon Rouard, Yossi Adi, Jade Copet, Axel Roebel, Alexandre Défossez

CoRR, 2024

Proactive Detection of Voice Cloning with Localized Watermarking.

Robin San Roman, Pierre Fernandez, Hady Elsahar, Alexandre Défossez, Teddy Furon, Tuan Tran

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

An Independence-promoting Loss for Music Generation with Language Models.

Jean-Marie Lemercier, Simon Rouard, Jade Copet, Yossi Adi, Alexandre Défossez

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

2023

Decoding speech perception from non-invasive brain recordings.

Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King

Nat. Mac. Intell., October, 2023

High Fidelity Neural Audio Compression.

Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi

Trans. Mach. Learn. Res., 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

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion.

Robin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Défossez

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

AudioGen: Textually Guided Audio Generation.

Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hybrid Transformers for Music Source Separation.

Simon Rouard, Francisco Massa, Alexandre Défossez

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Simple Convergence Proof of Adam and Adagrad.

Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier

Trans. Mach. Learn. Res., 2022

Differentiable Model Compression via Pseudo Quantization Noise.

Alexandre Défossez, Yossi Adi, Gabriel Synnaeve

Trans. Mach. Learn. Res., 2022

Audio Language Modeling using Perceptually-Guided Discrete Representations.

Felix Kreuk, Yaniv Taigman, Adam Polyak, Jade Copet, Gabriel Synnaeve, Alexandre Défossez, Yossi Adi

CoRR, 2022

Decoding speech from non-invasive brain recordings.

Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King

CoRR, 2022

Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain.

Dejan Markovic, Alexandre Défossez, Alexander Richard

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Hybrid Spectrogram and Waveform Source Separation.

Alexandre Défossez

CoRR, 2021

Deep Recurrent Encoder: A scalable end-to-end network to model brain signals.

Omar Chehab, Alexandre Défossez, Jean-Christophe Loiseau, Alexandre Gramfort, Jean-Remi King

CoRR, 2021

2020

Optimization of fast deep learning models for audio analysis and synthesis. (Optimisation de modèles d'apprentissage rapides pour l'analyse et la synthèse audio).

Alexandre Défossez

PhD thesis, 2020

On the Convergence of Adam and Adagrad.

Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier

CoRR, 2020

Real Time Speech Enhancement in the Waveform Domain.

Alexandre Défossez, Gabriel Synnaeve, Yossi Adi

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Music Source Separation in the Waveform Domain.

Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach

CoRR, 2019

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed.

Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach

CoRR, 2019

Regression Versus Classification for Neural Network Based Audio Source Localization.

Lauréline Perotin, Alexandre Défossez, Emmanuel Vincent, Romain Serizel, Alexandre Guérin

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

2018

SING: Symbol-to-Instrument Neural Generator.

Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

AdaBatch: Efficient Gradient Aggregation Rules for Sequential and Parallel Stochastic Gradient Methods.

Alexandre Défossez, Francis R. Bach

CoRR, 2017

2015

Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions.

Alexandre Défossez, Francis R. Bach

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Constant Step Size Least-Mean-Square: Bias-Variance Trade-offs and Optimal Sampling Distributions.

Alexandre Défossez, Francis R. Bach

CoRR, 2014