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ORCIDJérémy Rapin
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2020 – today
- 2023
[j9]Alexandre Défossez
, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King:
Decoding speech perception from non-invasive brain recordings. Nat. Mac. Intell. 5(10): 1097-1107 (2023)- [c12]Ahmed Touati, Jérémy Rapin, Yann Ollivier:
Does Zero-Shot Reinforcement Learning Exist? ICLR 2023 - [i18]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 abs/2308.12950 (2023) - [i17]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 abs/2310.00077 (2023) - [i16]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 abs/2312.06467 (2023) - 2022
- [j8]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): 490-500 (2022) - [i15]Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King:
Decoding speech from non-invasive brain recordings. CoRR abs/2208.12266 (2022) - [i14]Ahmed Touati, Jérémy Rapin, Yann Ollivier:
Does Zero-Shot Reinforcement Learning Exist? CoRR abs/2209.14935 (2022) - 2021
- [j7]Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie:
Inspirational Adversarial Image Generation. IEEE Trans. Image Process. 30: 4036-4045 (2021) - 2020
- [j6]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): 244-256 (2020) - [c11]Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud:
EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) 2020: 679-694 - [c10]Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud:
Versatile black-box optimization. GECCO 2020: 620-628 - [c9]Jérémy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud:
Open source evolutionary structured optimization. GECCO Companion 2020: 1599-1607 - [c8]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: 1338-1348 - [c7]Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud:
Variance Reduction for Better Sampling in Continuous Domains. PPSN (1) 2020: 154-168 - [c6]Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud:
On Averaging the Best Samples in Evolutionary Computation. PPSN (2) 2020: 661-674 - [i13]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 abs/2001.09832 (2020) - [i12]Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud:
Proving μ>1. CoRR abs/2004.11685 (2020) - [i11]Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud:
Variance Reduction for Better Sampling in Continuous Domains. CoRR abs/2004.11687 (2020) - [i10]Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud:
Versatile Black-Box Optimization. CoRR abs/2004.14014 (2020) - [i9]Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud:
EvolGAN: Evolutionary Generative Adversarial Networks. CoRR abs/2009.13311 (2020) - [i8]Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve:
Population Based Training for Data Augmentation and Regularization in Speech Recognition. CoRR abs/2010.03899 (2020) - [i7]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 abs/2010.04542 (2020)
2010 – 2019
- 2019
- [c5]Vasil Khalidov, Maxime Oquab, Jérémy Rapin, Olivier Teytaud:
Consistent population control: generate plenty of points, but with a bit of resampling. FOGA 2019: 116-123 - [c4]Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud:
Openly revisiting derivative-free optimization. GECCO (Companion) 2019: 267-268 - [c3]Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud:
Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) 2019: 1888-1896 - [i6]Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie:
Inspirational Adversarial Image Generation. CoRR abs/1906.11661 (2019) - [i5]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 abs/1910.08406 (2019) - 2016
- [j5]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: 75-83 (2016) - 2015
- [j4]Cecile Chenot, Jérôme Bobin, Jérémy Rapin:
Robust Sparse Blind Source Separation. IEEE Signal Process. Lett. 22(11): 2172-2176 (2015) - [j3]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): 1199-1213 (2015) - [i4]Cecile Chenot, Jérôme Bobin, Jérémy Rapin:
Robust Sparse Blind Source Separation. CoRR abs/1507.02216 (2015) - 2014
- [j2]Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck:
NMF with Sparse Regularizations in Transformed Domains. SIAM J. Imaging Sci. 7(4): 2020-2047 (2014) - [c2]Jérôme Bobin, Jean-Luc Starck, Jérémy Rapin, Anthony Larue:
Sparse blind source separation for partially correlated sources. ICIP 2014: 6021-6025 - [i3]Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck:
NMF with Sparse Regularizations in Transformed Domains. CoRR abs/1407.7691 (2014) - [i2]Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck:
Sparsity and adaptivity for the blind separation of partially correlated sources. CoRR abs/1412.4005 (2014) - 2013
- [j1]Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck:
Sparse and Non-Negative BSS for Noisy Data. IEEE Trans. Signal Process. 61(22): 5620-5632 (2013) - [c1]Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck:
Sparse redundant formulations and non-negativity in Blind Source Separation. EUSIPCO 2013: 1-5 - [i1]Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck:
Sparse and Non-Negative BSS for Noisy Data. CoRR abs/1308.5546 (2013)
Coauthor Index
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