Search Results for author: Baptiste Roziere

Found 12 papers, 6 papers with code

Dialogue avec Molière (Dialogue with Molière )

no code implementations JEP/TALN/RECITAL 2022 Guillaume Grosjean, Anna Pappa, Baptiste Roziere, Tristan Cazenave

A l’occasion du quatre-centième anniversaire de la naissance de Molière (1622-1673), nous présentons un agent conversationnel qui parle comme un personnage du théâtre de Molière.


Code Translation with Compiler Representations

1 code implementation30 Jun 2022 Marc Szafraniec, Baptiste Roziere, Hugh Leather, Francois Charton, Patrick Labatut, Gabriel Synnaeve

Here we propose to augment code translation with IRs, specifically LLVM IR, with results on the C++, Java, Rust, and Go languages.

Code Translation Machine Translation +2

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking

no code implementations8 Oct 2020 Laurent Meunier, Herilalaina Rakotoarison, Pak Kan Wong, Baptiste Roziere, Jeremy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr

We demonstrate the advantages of such a broad collection by deriving from it Automated Black Box Optimizer (ABBO), a general-purpose algorithm selection wizard.


EvolGAN: Evolutionary Generative Adversarial Networks

1 code implementation28 Sep 2020 Baptiste Roziere, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jeremy Rapin, Mariia Zameshina, Olivier Teytaud

We propose to use a quality estimator and evolutionary methods to search the latent space of generative adversarial networks trained on small, difficult datasets, or both.

Unsupervised Translation of Programming Languages

9 code implementations NeurIPS 2020 Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, Guillaume Lample

We train our model on source code from open source GitHub projects, and show that it can translate functions between C++, Java, and Python with high accuracy.

Code Translation Translation +1

Versatile Black-Box Optimization

no code implementations29 Apr 2020 Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Roziere, Jeremy Rapin, Fabien Teytaud, Olivier Teytaud

Choosing automatically the right algorithm using problem descriptors is a classical component of combinatorial optimization.

Combinatorial Optimization Evolutionary Algorithms

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