Alexandre Défossez

Orcid: 0000-0003-3616-1968

According to our database1, Alexandre Défossez authored at least 28 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Proactive Detection of Voice Cloning with Localized Watermarking.
CoRR, 2024

Masked Audio Generation using a Single Non-Autoregressive Transformer.
CoRR, 2024

2023
Decoding speech perception from non-invasive brain recordings.
Nat. Mac. Intell., October, 2023

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

The Sound Demixing Challenge 2023 - Music Demixing Track.
CoRR, 2023

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

AudioGen: Textually Guided Audio Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hybrid Transformers for Music Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Simple Convergence Proof of Adam and Adagrad.
Trans. Mach. Learn. Res., 2022

Differentiable Model Compression via Pseudo Quantization Noise.
Trans. Mach. Learn. Res., 2022

Audio Language Modeling using Perceptually-Guided Discrete Representations.
CoRR, 2022

High Fidelity Neural Audio Compression.
CoRR, 2022

Decoding speech from non-invasive brain recordings.
CoRR, 2022

Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain.
Proceedings of the Interspeech 2022, 2022

2021
Hybrid Spectrogram and Waveform Source Separation.
CoRR, 2021

Deep Recurrent Encoder: A scalable end-to-end network to model brain signals.
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).
PhD thesis, 2020

On the Convergence of Adam and Adagrad.
CoRR, 2020

Real Time Speech Enhancement in the Waveform Domain.
Proceedings of the Interspeech 2020, 2020

2019
Music Source Separation in the Waveform Domain.
CoRR, 2019

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed.
CoRR, 2019

Regression Versus Classification for Neural Network Based Audio Source Localization.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

2018
SING: Symbol-to-Instrument Neural Generator.
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.
CoRR, 2017

2015
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions.
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.
CoRR, 2014


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