Search Results for author: Fabien Teytaud

Found 9 papers, 1 papers with code

Fairness in generative modeling

no code implementations6 Oct 2022 Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanael Carraz, Laurent Najman, Markus Wagner

We design general-purpose algorithms for addressing fairness issues and mode collapse in generative modeling.


Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration

no code implementations9 Sep 2022 Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr

Algorithm selection wizards are effective and versatile tools that automatically select an optimization algorithm given high-level information about the problem and available computational resources, such as number and type of decision variables, maximal number of evaluations, possibility to parallelize evaluations, etc.

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.

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

BCMA-ES: A Bayesian approach to CMA-ES

no code implementations2 Apr 2019 Eric Benhamou, David Saltiel, Sebastien Verel, Fabien Teytaud

This paper introduces a novel theoretically sound approach for the celebrated CMA-ES algorithm.

Automatically Reinforcing a Game AI

no code implementations27 Jul 2016 David L. St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud

In addition, we consider the case in which only one GPP is available - by decomposing this single GPP into several ones through the use of parameters or even simply random seeds.


A Critical Reassessment of Evolutionary Algorithms on the cryptanalysis of the simplified data encryption standard algorithm

no code implementations8 Jul 2014 Fabien Teytaud, Cyril Fonlupt

In this paper we analyze the cryptanalysis of the simplified data encryption standard algorithm using meta-heuristics and in particular genetic algorithms.

Cryptanalysis Evolutionary Algorithms

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