Jérémy Rapin

46 papers A* 2A 2B 1Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Brain-to-Text Decoding: A Non-invasive Approach via Typing. CoRR Jarod Lévy, Mingfang Zhang, Svetlana Pinet, Jérémy Rapin, Hubert J. Banville, Stéphane d'Ascoli, Jean-Rémi King
2025	J	`jnl`	Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym. IEEE Trans. Evol. Comput. Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
2025	J	`jnl`	Sample-efficient decoding of visual stimuli from fMRI through inter-individual functional alignment. Trans. Mach. Learn. Res. Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Stanislas Dehaene, Bertrand Thirion, Hubert J. Banville, Jean-Remi King
2025	J	`jnl`	Scaling and context steer LLMs along the same computational path as the human brain. CoRR Joséphine Raugel, Stéphane d'Ascoli, Jérémy Rapin, Valentin Wyart, Jean-Rémi King
2025	J	`jnl`	Scaling laws for decoding images from brain activity. CoRR Hubert J. Banville, Yohann Benchetrit, Stéphane d'Ascoli, Jérémy Rapin, Jean-Rémi King
2025	J	`jnl`	TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction. CoRR Stéphane d'Ascoli, Jérémy Rapin, Yohann Benchetrit, Hubert J. Banville, Jean-Rémi King
2024	J	`jnl`	Decoding individual words from non-invasive brain recordings across 723 participants. CoRR Stéphane d'Ascoli, Corentin Bel, Jérémy Rapin, Hubert J. Banville, Yohann Benchetrit, Christophe Pallier, Jean-Rémi King
2023	J	`jnl`	Aligning brain functions boosts the decoding of visual semantics in novel subjects. CoRR Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Hubert J. Banville, Jean-Rémi King
2023	J	`jnl`	Code Llama: Open Foundation Models for Code. CoRR 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
2023	J	`jnl`	Decoding speech perception from non-invasive brain recordings. Nat. Mac. Intell. Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King
2023	A*	`conf`	Does Zero-Shot Reinforcement Learning Exist? ICLR Ahmed Touati, Jérémy Rapin, Yann Ollivier
2023	J	`jnl`	Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym. CoRR Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
2022	J	`jnl`	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
2022	J	`jnl`	Decoding speech from non-invasive brain recordings. CoRR Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King
2022	J	`jnl`	Does Zero-Shot Reinforcement Learning Exist? CoRR Ahmed Touati, Jérémy Rapin, Yann Ollivier
2021	J	`jnl`	Inspirational Adversarial Image Generation. IEEE Trans. Image Process. Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2020	J	`jnl`	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking. CoRR Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
2020	—	`conf`	EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
2020	J	`jnl`	EvolGAN: Evolutionary Generative Adversarial Networks. CoRR Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
2020	A*	`conf`	Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
2020	—	`conf`	On Averaging the Best Samples in Evolutionary Computation. PPSN (2) Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	—	`conf`	Open source evolutionary structured optimization. GECCO Companion Jérémy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud
2020	J	`jnl`	Polygames: Improved Zero Learning. CoRR 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
2020	J	`jnl`	Polygames: Improved zero learning. ICGA J. 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
2020	J	`jnl`	Population Based Training for Data Augmentation and Regularization in Speech Recognition. CoRR Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve
2020	J	`jnl`	Proving μ>1. CoRR Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	—	`conf`	Variance Reduction for Better Sampling in Continuous Domains. PPSN (1) Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2020	J	`jnl`	Variance Reduction for Better Sampling in Continuous Domains. CoRR Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2020	J	`jnl`	Versatile Black-Box Optimization. CoRR Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
2020	A	`conf`	Versatile black-box optimization. GECCO Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
2019	A	`conf`	Consistent population control: generate plenty of points, but with a bit of resampling. FOGA Vasil Khalidov, Maxime Oquab, Jérémy Rapin, Olivier Teytaud
2019	—	`conf`	Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud
2019	J	`jnl`	Fully Parallel Hyperparameter Search: Reshaped Space-Filling. CoRR Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud
2019	J	`jnl`	Inspirational Adversarial Image Generation. CoRR Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2019	—	`conf`	Openly revisiting derivative-free optimization. GECCO (Companion) Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
2016	J	`jnl`	Application of non-negative matrix factorization to LC/MS data. Signal Process. Jérémy Rapin, Antoine Souloumiac, Jérôme Bobin, Anthony Larue, Christophe Junot, Minale Ouethrani, Jean-Luc Starck
2015	J	`jnl`	Robust Sparse Blind Source Separation. CoRR Cecile Chenot, Jérôme Bobin, Jérémy Rapin
2015	J	`jnl`	Robust Sparse Blind Source Separation. IEEE Signal Process. Lett. Cecile Chenot, Jérôme Bobin, Jérémy Rapin
2015	J	`jnl`	Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources. IEEE Trans. Signal Process. Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
2014	J	`jnl`	NMF with Sparse Regularizations in Transformed Domains. CoRR Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2014	J	`jnl`	NMF with Sparse Regularizations in Transformed Domains. SIAM J. Imaging Sci. Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2014	B	`conf`	Sparse blind source separation for partially correlated sources. ICIP Jérôme Bobin, Jean-Luc Starck, Jérémy Rapin, Anthony Larue
2014	J	`jnl`	Sparsity and adaptivity for the blind separation of partially correlated sources. CoRR Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
2013	J	`jnl`	Sparse and Non-Negative BSS for Noisy Data. CoRR Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2013	J	`jnl`	Sparse and Non-Negative BSS for Noisy Data. IEEE Trans. Signal Process. Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2013	—	`conf`	Sparse redundant formulations and non-negativity in Blind Source Separation. EUSIPCO Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck