Constant Step Size Least-Mean-Square: Bias-Variance Trade-offs and Optimal Sampling Distributions. - Alexandre Défossez; Francis R. Bach (CoRR, 2014)

Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions. - Alexandre Défossez; Francis R. Bach (AISTATS, 2015)

AdaBatch: Efficient Gradient Aggregation Rules for Sequential and Parallel Stochastic Gradient Methods. - Alexandre Défossez; Francis R. Bach (CoRR, 2017)

SING: Symbol-to-Instrument Neural Generator. - Alexandre Défossez; Neil Zeghidour; Nicolas Usunier; Léon Bottou; Francis R. Bach (NeurIPS, 2018)

Regression Versus Classification for Neural Network Based Audio Source Localization. - Lauréline Perotin; Alexandre Défossez; Emmanuel Vincent 001; Romain Serizel; Alexandre Guérin (WASPAA, 2019)

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. - Alexandre Défossez; Nicolas Usunier; Léon Bottou; Francis R. Bach (CoRR, 2019)

Music Source Separation in the Waveform Domain. - Alexandre Défossez; Nicolas Usunier; Léon Bottou; Francis R. Bach (CoRR, 2019)

Real Time Speech Enhancement in the Waveform Domain. - Alexandre Défossez; Gabriel Synnaeve; Yossi Adi (INTERSPEECH, 2020)

On the Convergence of Adam and Adagrad. - Alexandre Défossez; Léon Bottou; Francis R. Bach; Nicolas Usunier (CoRR, 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 (2020)

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)

Hybrid Spectrogram and Waveform Source Separation. - Alexandre Défossez (CoRR, 2021)

Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain. - Dejan Markovic; Alexandre Défossez; Alexander Richard (INTERSPEECH, 2022)

Decoding speech from non-invasive brain recordings. - Alexandre Défossez; Charlotte Caucheteux; Jérémy Rapin; Ori Kabeli; Jean-Rémi King (CoRR, 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)

Differentiable Model Compression via Pseudo Quantization Noise. - Alexandre Défossez; Yossi Adi; Gabriel Synnaeve (Trans. Mach. Learn. Res., 2022)

A Simple Convergence Proof of Adam and Adagrad. - Alexandre Défossez; Léon Bottou; Francis R. Bach; Nicolas Usunier (Trans. Mach. Learn. Res., 2022)

Hybrid Transformers for Music Source Separation. - Simon Rouard; Francisco Massa; Alexandre Défossez (ICASSP, 2023)

AudioGen: Textually Guided Audio Generation. - Felix Kreuk; Gabriel Synnaeve; Adam Polyak; Uriel Singer; Alexandre Défossez; Jade Copet; Devi Parikh; Yaniv Taigman; Yossi Adi (ICLR, 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)

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion. - Robin San Roman; Yossi Adi; Antoine Deleforge; Romain Serizel; Gabriel Synnaeve; Alexandre Défossez (NeurIPS, 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)

High Fidelity Neural Audio Compression. - Alexandre Défossez; Jade Copet; Gabriel Synnaeve; Yossi Adi (Trans. Mach. Learn. Res., 2023)

Decoding speech perception from non-invasive brain recordings. - Alexandre Défossez; Charlotte Caucheteux; Jérémy Rapin; Ori Kabeli; Jean-Rémi King (Nat. Mac. Intell., 2023)

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)

An Independence-promoting Loss for Music Generation with Language Models. - Jean-Marie Lemercier; Simon Rouard; Jade Copet; Yossi Adi; Alexandre Défossez (ICML, 2024)

Proactive Detection of Voice Cloning with Localized Watermarking. - Robin San Roman; Pierre Fernandez; Hady Elsahar; Alexandre Défossez; Teddy Furon; Tuan Tran (ICML, 2024)

Audio Conditioning for Music Generation via Discrete Bottleneck Features. - Simon Rouard; Yossi Adi; Jade Copet; Axel Roebel; Alexandre Défossez (ISMIR, 2024)

Moshi: a speech-text foundation model for real-time dialogue. - Alexandre Défossez; Laurent Mazaré; Manu Orsini; Amélie Royer; Patrick Pérez; Hervé Jégou; Edouard Grave; Neil Zeghidour (CoRR, 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 001; Igor Gadelha; Geraldo Ramos; Eddie Hsu; Hugo Rodrigues; Fabian-Robert Stöter; Alexandre Défossez; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

High-Fidelity Simultaneous Speech-To-Speech Translation. - Tom Labiausse; Laurent Mazaré; Edouard Grave; Patrick Pérez; Alexandre Défossez; Neil Zeghidour (CoRR, 2025)

Vision-Speech Models: Teaching Speech Models to Converse about Images. - Amélie Royer; Moritz Böhle; Gabriel de Marmiesse; Laurent Mazaré; Neil Zeghidour; Alexandre Défossez; Patrick Pérez (CoRR, 2025)

Aligning Spoken Dialogue Models from User Interactions. - Anne Wu; Laurent Mazaré; Neil Zeghidour; Alexandre Défossez (CoRR, 2025)