Jérémy Rapin

According to our database, Jérémy Rapin authored at least 34 papers between 2013 and 2025.

Collaborative distances:

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

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, July, 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., February, 2025

Brain-to-Text Decoding: A Non-invasive Approach via Typing.

Jarod Lévy, Mingfang Zhang, Svetlana Pinet, Jérémy Rapin, Hubert J. Banville, Stéphane d'Ascoli, Jean-Rémi King

CoRR, February, 2025

Scaling laws for decoding images from brain activity.

Hubert J. Banville, Yohann Benchetrit, Stéphane d'Ascoli, Jérémy Rapin, Jean-Rémi King

CoRR, January, 2025

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

2024

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

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

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

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

Does Zero-Shot Reinforcement Learning Exist?

Ahmed Touati, Jérémy Rapin, Yann Ollivier

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Decoding speech from non-invasive brain recordings.

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

CoRR, 2022

2021

Inspirational Adversarial Image Generation.

Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie

IEEE Trans. Image Process., 2021

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, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko

J. Int. Comput. Games Assoc., 2020

Population Based Training for Data Augmentation and Regularization in Speech Recognition.

Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve

CoRR, 2020

Proving μ>1.

Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud

CoRR, 2020

Variance Reduction for Better Sampling in Continuous Domains.

Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Averaging the Best Samples in Evolutionary Computation.

Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 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

Proceedings of the 37th International Conference on Machine Learning, 2020

Open source evolutionary structured optimization.

Jérémy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Versatile black-box optimization.

Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

EvolGAN: Evolutionary Generative Adversarial Networks.

Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

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

Inspirational Adversarial Image Generation.

Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie

CoRR, 2019

Exploring the MLDA benchmark on the nevergrad platform.

Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Openly revisiting derivative-free optimization.

Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Consistent population control: generate plenty of points, but with a bit of resampling.

Vasil Khalidov, Maxime Oquab, Jérémy Rapin, Olivier Teytaud

Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

2016

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

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

Robust Sparse Blind Source Separation.

Cecile Chenot, Jérôme Bobin, Jérémy Rapin

IEEE Signal Process. Lett., 2015

2014

NMF with Sparse Regularizations in Transformed Domains.

Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck

SIAM J. Imaging Sci., 2014

Sparse blind source separation for partially correlated sources.

Jérôme Bobin, Jean-Luc Starck, Jérémy Rapin, Anthony Larue

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Sparse and Non-Negative BSS for Noisy Data.

Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck

IEEE Trans. Signal Process., 2013

Sparse redundant formulations and non-negativity in Blind Source Separation.

Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck

Proceedings of the 21st European Signal Processing Conference, 2013