Thomas Pierrot
Thomas Pierrot
Staff Research Scientist, InstaDeep
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Cited by
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Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
T Pierrot, V Macé, F Chalumeau, A Flajolet, G Cideron, K Beguir, A Cully, ...
Proceedings of the Genetic and Evolutionary Computation Conference, 2022
The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
H Dalla-Torre, L Gonzalez, J Mendoza-Revilla, NL Carranza, ...
bioRxiv, 2023.01.11.523679, 2023
Learning compositional neural programs with recursive tree search and planning
T Pierrot, G Ligner, SE Reed, O Sigaud, N Perrin, A Laterre, D Kas, ...
Advances in Neural Information Processing Systems 32, 2019
Early computational detection of potential high-risk SARS-CoV-2 variants
K Beguir, MJ Skwark, Y Fu, T Pierrot, NL Carranza, A Laterre, I Kadri, ...
Computers in biology and medicine 155, 106618, 2023
Multi-Objective Quality Diversity Optimization
T Pierrot, G Richard, K Beguir, A Cully
Proceedings of the Genetic and Evolutionary Computation Conference, 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
F Chalumeau, R Boige, B Lim, V Macé, M Allard, A Flajolet, A Cully, ...
The Eleventh International Conference on Learning Representations, 2022
Fast population-based reinforcement learning on a single machine
A Flajolet, CB Monroc, K Beguir, T Pierrot
International Conference on Machine Learning, 6533-6547, 2022
Offline reinforcement learning hands-on
L Monier, J Kmec, A Laterre, T Pierrot, V Courgeau, O Sigaud, K Beguir
arXiv preprint arXiv:2011.14379, 2020
QDax: A library for quality-diversity and population-based algorithms with hardware acceleration
F Chalumeau, B Lim, R Boige, M Allard, L Grillotti, M Flageat, V Macé, ...
Journal of Machine Learning Research 25 (108), 1-16, 2024
First-order and second-order variants of the gradient descent in a unified framework
T Pierrot, N Perrin-Gilbert, O Sigaud
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
Evolving Populations of Diverse RL Agents with MAP-Elites
T Pierrot, A Flajolet
The Eleventh International Conference on Learning Representations, 2023
A foundational large language model for edible plant genomes
J Mendoza-Revilla, E Trop, L Gonzalez, M Roller, H Dalla-Torre, ...
Communications Biology 7 (1), 835, 2024
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
V Macé, R Boige, F Chalumeau, T Pierrot, G Richard, N Perrin-Gilbert
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
F Chalumeau, T Pierrot, V Macé, A Flajolet, K Beguir, A Cully, ...
arXiv preprint arXiv:2211.13742, 2022
Advancing dna language models: The genomics long-range benchmark
CH Kao, E Trop, MK Polen, Y Schiff, BP de Almeida, A Gokaslan, T Pierrot, ...
ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 2024
SegmentNT: annotating the genome at single-nucleotide resolution with DNA foundation models
BP de Almeida, H Dalla-Torre, G Richard, C Blum, L Hexemer, M Gélard, ...
bioRxiv, 2024.03. 14.584712, 2024
Pasta: Pretrained action-state transformer agents
R Boige, Y Flet-Berliac, A Flajolet, G Richard, T Pierrot
arXiv preprint arXiv:2307.10936, 2023
Designing a prospective COVID-19 therapeutic with reinforcement learning
MJ Skwark, NL Carranza, T Pierrot, J Phillips, S Said, A Laterre, A Kerkeni, ...
arXiv preprint arXiv:2012.01736, 2020
Learning compositional neural programs for continuous control
T Pierrot, N Perrin, F Behbahani, A Laterre, O Sigaud, K Beguir, ...
arXiv preprint arXiv:2007.13363, 2020
Are genomic language models all you need? exploring genomic language models on protein downstream tasks
S Boshar, E Trop, BP de Almeida, L Copoiu, T Pierrot
bioRxiv, 2024.05. 20.594989, 2024
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