Pierrot, Thomas

14 publications

TMLR 2025 Learning the Language of Protein Structure Jérémie Dona, Benoit Gaujac, Timothy Atkinson, Liviu Copoiu, Thomas Pierrot, Thomas D Barrett

ICLR 2025 Simple Guidance Mechanisms for Discrete Diffusion Models Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P de Almeida, Alexander M Rush, Thomas Pierrot, Volodymyr Kuleshov

ICLRW 2024 Advancing Dna Language Models: The Genomics Long-Range Benchmark Chia Hsiang Kao, Evan Trop, McKinley Polen, Yair Schiff, Bernardo P de Almeida, Aaron Gokaslan, Thomas Pierrot, Volodymyr Kuleshov

ICLRW 2024 Are Genomic Language Models All You Need? Exploring Genomic Language Models on Protein Downstream Tasks Sam Boshar, Evan Trop, Bernardo P de Almeida, Thomas Pierrot

NeurIPS 2024 Multi-Modal Transfer Learning Between Biological Foundation Models Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard

MLOSS 2024 QDax: A Library for Quality-Diversity and Population-Based Algorithms with Hardware Acceleration Felix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully

ICMLW 2024 Quality-Diversity for One-Shot Biological Sequence Design Jérémie Dona, Arthur Flajolet, Andrei Marginean, Antoine Cully, Thomas Pierrot

NeurIPSW 2023 Contrasting Sequence with Structure: Pre-Training Graph Representations with PLMs Louis Robinson, Timothy Atkinson, Liviu Copoiu, Patrick Bordes, Thomas Pierrot, Thomas D Barrett

ICLR 2023 Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot, Arthur Flajolet

ICLR 2023 Neuroevolution Is a Competitive Alternative to Reinforcement Learning for Skill Discovery Felix Chalumeau, Raphael Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot

NeurIPSW 2023 PASTA: Pretrained Action-State Transformer Agents Raphael Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot

ICLRW 2022 Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization Thomas Pierrot, Valentin Macé, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert

ICML 2022 Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot

NeurIPS 2019 Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot, Guillaume Ligner, Scott E Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas