no code implementations • 11 Dec 2023 • Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Hubert Banville, Jean-Rémi King
Deep learning is leading to major advances in the realm of brain decoding from functional Magnetic Resonance Imaging (fMRI).
no code implementations • 29 Sep 2023 • Elena Raponi, Nathanael Rakotonirina Carraz, Jérémy Rapin, Carola Doerr, Olivier Teytaud
BO-based algorithms are popular in the ML community, as they are used for hyperparameter optimization and more generally for algorithm configuration.
2 code implementations • 24 Aug 2023 • Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Romain Sauvestre, 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
We release Code Llama, a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks.
Ranked #26 on Code Generation on HumanEval
1 code implementation • 29 Sep 2022 • Ahmed Touati, Jérémy Rapin, Yann Ollivier
A zero-shot RL agent is an agent that can solve any RL task in a given environment, instantly with no additional planning or learning, after an initial reward-free learning phase.
1 code implementation • 25 Aug 2022 • Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King
Overall, this effective decoding of perceived speech from non-invasive recordings delineates a promising path to decode language from brain activity, without putting patients at risk for brain surgery.
no code implementations • 29 Sep 2021 • Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Olivier Teytaud, Carola Doerr
Machine learning has invaded various domains of computer science, including black-box optimization.
no code implementations • 1 Jan 2021 • Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve
In most pragmatic settings, data augmentation and regularization are essential, and require hyperparameter search.
no code implementations • 8 Oct 2020 • Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve
It compares favorably to a baseline that does not change those hyperparameters over the course of training, with an 8% relative WER improvement.
1 code implementation • 17 Jun 2019 • Baptiste Rozière, Morgane Riviere, Olivier Teytaud, Jérémy Rapin, Yann Lecun, Camille Couprie
We design a simple optimization method to find the optimal latent parameters corresponding to the closest generation to any input inspirational image.
1 code implementation • 29 Jul 2014 • Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
In this article, we show how a sparse NMF algorithm coined non-negative generalized morphological component analysis (nGMCA) can be extended to impose non-negativity in the direct domain along with sparsity in a transformed domain, with both analysis and synthesis formulations.
1 code implementation • 26 Aug 2013 • Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
In this context, it is fundamental that the sources to be estimated present some diversity in order to be efficiently retrieved.