Sparse redundant formulations and non-negativity in Blind Source Separation. - Jérémy Rapin; Jérôme Bobin; Anthony Larue; Jean-Luc Starck (EUSIPCO, 2013)

Sparse and Non-Negative BSS for Noisy Data. - Jérémy Rapin; Jérôme Bobin; Anthony Larue; Jean-Luc Starck (IEEE Trans. Signal Process., 2013)

Sparse blind source separation for partially correlated sources. - Jérôme Bobin; Jean-Luc Starck; Jérémy Rapin; Anthony Larue (ICIP, 2014)

NMF with Sparse Regularizations in Transformed Domains. - Jérémy Rapin; Jérôme Bobin; Anthony Larue; Jean-Luc Starck (SIAM J. Imaging Sci., 2014)

Robust Sparse Blind Source Separation. - Cecile Chenot; Jérôme Bobin; Jérémy Rapin (IEEE Signal Process. Lett., 2015)

Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources. - Jérôme Bobin; Jérémy Rapin; Anthony Larue; Jean-Luc Starck (IEEE Trans. Signal Process., 2015)

Application of non-negative matrix factorization to LC/MS data. - Jérémy Rapin; Antoine Souloumiac; Jérôme Bobin; Anthony Larue; Christophe Junot; Minale Ouethrani; Jean-Luc Starck (Signal Process., 2016)

Consistent population control: generate plenty of points, but with a bit of resampling. - Vasil Khalidov; Maxime Oquab; Jérémy Rapin; Olivier Teytaud (FOGA, 2019)

Openly revisiting derivative-free optimization. - Jérémy Rapin; Pauline Dorval; Jules Pondard; Nicolas Vasilache; Marie-Liesse Cauwet; Camille Couprie; Olivier Teytaud (GECCO (Companion), 2019)

Exploring the MLDA benchmark on the nevergrad platform. - Jérémy Rapin; Marcus Gallagher; Pascal Kerschke; Mike Preuss; Olivier Teytaud (GECCO (Companion), 2019)

Inspirational Adversarial Image Generation. - Morgane Rivière; Olivier Teytaud; Jérémy Rapin; Yann LeCun; Camille Couprie (CoRR, 2019)

Fully Parallel Hyperparameter Search: Reshaped Space-Filling. - Marie-Liesse Cauwet; Camille Couprie; Julien Dehos; Pauline Luc; Jérémy Rapin; Morgane Rivière; Fabien Teytaud; Olivier Teytaud (CoRR, 2019)

EvolGAN: Evolutionary Generative Adversarial Networks. - Baptiste Rozière; Fabien Teytaud; Vlad Hosu; Hanhe Lin; Jérémy Rapin; Mariia Zameshina; Olivier Teytaud (ACCV (4), 2020)

Versatile black-box optimization. - Jialin Liu 001; Antoine Moreau; Mike Preuss; Jérémy Rapin; Baptiste Rozière; Fabien Teytaud; Olivier Teytaud (GECCO, 2020)

Open source evolutionary structured optimization. - Jérémy Rapin; Pauline Bennet; Emmanuel Centeno; Daniel Haziza; Antoine Moreau; Olivier Teytaud (GECCO Companion, 2020)

Fully Parallel Hyperparameter Search: Reshaped Space-Filling. - Marie-Liesse Cauwet; Camille Couprie; Julien Dehos; Pauline Luc; Jérémy Rapin; Morgane Rivière; Fabien Teytaud; Olivier Teytaud; Nicolas Usunier (ICML, 2020)

On Averaging the Best Samples in Evolutionary Computation. - Laurent Meunier; Yann Chevaleyre; Jérémy Rapin; Clément W. Royer; Olivier Teytaud (PPSN (2), 2020)

Variance Reduction for Better Sampling in Continuous Domains. - Laurent Meunier; Carola Doerr; Jérémy Rapin; Olivier Teytaud (PPSN (1), 2020)

Proving μ>1. - Laurent Meunier; Yann Chevaleyre; Jérémy Rapin; Clément W. Royer; Olivier Teytaud (CoRR, 2020)

Population Based Training for Data Augmentation and Regularization in Speech Recognition. - Daniel Haziza; Jérémy Rapin; Gabriel Synnaeve (CoRR, 2020)

Polygames: Improved zero learning. - Tristan Cazenave; Yen-Chi Chen; Guan-Wei Chen; Shi-Yu Chen; Xian-Dong Chiu; Julien Dehos; Maria Elsa; Qucheng Gong; Hengyuan Hu; Vasil Khalidov; Cheng-Ling Li; Hsin-I Lin; et al. (J. Int. Comput. Games Assoc., 2020)

Inspirational Adversarial Image Generation. - Baptiste Rozière; Morgane Rivière; Olivier Teytaud; Jérémy Rapin; Yann LeCun; Camille Couprie (IEEE Trans. Image Process., 2021)

Decoding speech from non-invasive brain recordings. - Alexandre Défossez; Charlotte Caucheteux; Jérémy Rapin; Ori Kabeli; Jean-Rémi King (CoRR, 2022)

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. - Laurent Meunier; Herilalaina Rakotoarison; Pak-Kan Wong; Baptiste Rozière; Jérémy Rapin; Olivier Teytaud; Antoine Moreau; Carola Doerr (IEEE Trans. Evol. Comput., 2022)

Does Zero-Shot Reinforcement Learning Exist? - Ahmed Touati; Jérémy Rapin; Yann Ollivier (ICLR, 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)

Aligning brain functions boosts the decoding of visual semantics in novel subjects. - Alexis Thual; Yohann Benchetrit; Felix Geilert; Jérémy Rapin; Iurii Makarov; Hubert J. Banville; Jean-Rémi King (CoRR, 2023)

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

Decoding individual words from non-invasive brain recordings across 723 participants. - Stéphane d'Ascoli; Corentin Bel; Jérémy Rapin; Hubert J. Banville; Yohann Benchetrit; Christophe Pallier; Jean-Rémi King (CoRR, 2024)

Sample-efficient decoding of visual stimuli from fMRI through inter-individual functional alignment. - Alexis Thual; Yohann Benchetrit; Felix Geilert; Jérémy Rapin; Iurii Makarov; Stanislas Dehaene; Bertrand Thirion; Hubert J. Banville; Jean-Remi King (Trans. Mach. Learn. Res., 2025)

Scaling laws for decoding images from brain activity. - Hubert J. Banville; Yohann Benchetrit; Stéphane d'Ascoli; Jérémy Rapin; Jean-Rémi King (CoRR, 2025)

Brain-to-Text Decoding: A Non-invasive Approach via Typing. - Jarod Lévy; Mingfang Zhang 006; Svetlana Pinet; Jérémy Rapin; Hubert J. Banville; Stéphane d'Ascoli; Jean-Rémi King (CoRR, 2025)

Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym. - Elena Raponi; Nathanaël Carraz Rakotonirina; Jérémy Rapin; Carola Doerr; Olivier Teytaud (IEEE Trans. Evol. Comput., 2025)

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction. - Stéphane d'Ascoli; Jérémy Rapin; Yohann Benchetrit; Hubert J. Banville; Jean-Rémi King (CoRR, 2025)