Jérémy Rapin

According to our database1, Jérémy Rapin authored at least 29 papers between 2013 and 2023.

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Bibliography

2023
Decoding speech perception from non-invasive brain recordings.
Nat. Mac. Intell., October, 2023

Aligning brain functions boosts the decoding of visual semantics in novel subjects.
CoRR, 2023

Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym.
CoRR, 2023

Code Llama: Open Foundation Models for Code.
CoRR, 2023

Does Zero-Shot Reinforcement Learning Exist?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking.
IEEE Trans. Evol. Comput., 2022

Decoding speech from non-invasive brain recordings.
CoRR, 2022

2021
Inspirational Adversarial Image Generation.
IEEE Trans. Image Process., 2021

2020
Polygames: Improved zero learning.
J. Int. Comput. Games Assoc., 2020

Population Based Training for Data Augmentation and Regularization in Speech Recognition.
CoRR, 2020

Proving μ>1.
CoRR, 2020

Variance Reduction for Better Sampling in Continuous Domains.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Averaging the Best Samples in Evolutionary Computation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Fully Parallel Hyperparameter Search: Reshaped Space-Filling.
Proceedings of the 37th International Conference on Machine Learning, 2020

Open source evolutionary structured optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Versatile black-box optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

EvolGAN: Evolutionary Generative Adversarial Networks.
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.
CoRR, 2019

Inspirational Adversarial Image Generation.
CoRR, 2019

Exploring the MLDA benchmark on the nevergrad platform.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Openly revisiting derivative-free optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Consistent population control: generate plenty of points, but with a bit of resampling.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

2016
Application of non-negative matrix factorization to LC/MS data.
Signal Process., 2016

2015
Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources.
IEEE Trans. Signal Process., 2015

Robust Sparse Blind Source Separation.
IEEE Signal Process. Lett., 2015

2014
NMF with Sparse Regularizations in Transformed Domains.
SIAM J. Imaging Sci., 2014

Sparse blind source separation for partially correlated sources.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Sparse and Non-Negative BSS for Noisy Data.
IEEE Trans. Signal Process., 2013

Sparse redundant formulations and non-negativity in Blind Source Separation.
Proceedings of the 21st European Signal Processing Conference, 2013


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