Jérémy Rapin

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 29

Top Topics

Blind Source Separation

Evolutionary Computation

Negative Matrix Factorization

Image Generation

Top Venues

GECCO (Companion)

IEEE Signal Process. Lett.

Publications

Ahmed Touati, Jérémy Rapin, Yann Ollivier
Does Zero-Shot Reinforcement Learning Exist? ICLR (2023)
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
Code Llama: Open Foundation Models for Code. CoRR (2023)
Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King
Decoding speech perception from non-invasive brain recordings. Nat. Mac. Intell. 5 (10) (2023)
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym. CoRR (2023)
Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Hubert J. Banville, Jean-Rémi King
Aligning brain functions boosts the decoding of visual semantics in novel subjects. CoRR (2023)
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. 26 (3) (2022)
Ahmed Touati, Jérémy Rapin, Yann Ollivier
Does Zero-Shot Reinforcement Learning Exist? CoRR (2022)
Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King
Decoding speech from non-invasive brain recordings. CoRR (2022)
Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
Inspirational Adversarial Image Generation. IEEE Trans. Image Process. 30 (2021)
Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
Proving μ>1. CoRR (2020)
Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve
Population Based Training for Data Augmentation and Regularization in Speech Recognition. CoRR (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. CoRR (2020)
Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
Variance Reduction for Better Sampling in Continuous Domains. PPSN (1) (2020)
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking. CoRR (2020)
Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
Variance Reduction for Better Sampling in Continuous Domains. CoRR (2020)
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
Polygames: Improved Zero Learning. CoRR (2020)
Jérémy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud
Open source evolutionary structured optimization. GECCO Companion (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) (2020)
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
Polygames: Improved zero learning. J. Int. Comput. Games Assoc. 42 (4) (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
Versatile black-box optimization. GECCO (2020)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML (2020)
Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
On Averaging the Best Samples in Evolutionary Computation. PPSN (2) (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
Versatile Black-Box Optimization. CoRR (2020)
Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud
Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) (2019)
Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
Openly revisiting derivative-free optimization. GECCO (Companion) (2019)
Vasil Khalidov, Maxime Oquab, Jérémy Rapin, Olivier Teytaud
Consistent population control: generate plenty of points, but with a bit of resampling. FOGA (2019)
Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
Inspirational Adversarial Image Generation. CoRR (2019)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. CoRR (2019)
Jérémy Rapin, Antoine Souloumiac, Jérôme Bobin, Anthony Larue, Christophe Junot, Minale Ouethrani, Jean-Luc Starck
Application of non-negative matrix factorization to LC/MS data. Signal Process. 123 (2016)
Cecile Chenot, Jérôme Bobin, Jérémy Rapin
Robust Sparse Blind Source Separation. CoRR (2015)
Cecile Chenot, Jérôme Bobin, Jérémy Rapin
Robust Sparse Blind Source Separation. IEEE Signal Process. Lett. 22 (11) (2015)
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources. IEEE Trans. Signal Process. 63 (5) (2015)
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
Sparsity and adaptivity for the blind separation of partially correlated sources. CoRR (2014)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
NMF with Sparse Regularizations in Transformed Domains. SIAM J. Imaging Sci. 7 (4) (2014)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
NMF with Sparse Regularizations in Transformed Domains. CoRR (2014)
Jérôme Bobin, Jean-Luc Starck, Jérémy Rapin, Anthony Larue
Sparse blind source separation for partially correlated sources. ICIP (2014)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
Sparse and Non-Negative BSS for Noisy Data. IEEE Trans. Signal Process. 61 (22) (2013)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
Sparse redundant formulations and non-negativity in Blind Source Separation. EUSIPCO (2013)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
Sparse and Non-Negative BSS for Noisy Data. CoRR (2013)