Thomas Pierrot

40 papers A* 6A 6Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning the Language of Protein Structure. Trans. Mach. Learn. Res. Jérémie Donà, Benoit Gaujac, Timothy Atkinson, Liviu Copoiu, Thomas Pierrot, Thomas D. Barrett
2025	A*	`conf`	Simple Guidance Mechanisms for Discrete Diffusion Models. ICLR 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
2024	J	`jnl`	Are genomic language models all you need? Exploring genomic language models on protein downstream tasks. Bioinform. Sam Boshar, Evan Trop, Bernardo P. de Almeida, Liviu Copoiu, Thomas Pierrot
2024	—	`conf`	BulkRNABert: Cancer prognosis from bulk RNA-seq based language models. ML4H@NeurIPS Maxence Gélard, Guillaume Richard, Thomas Pierrot, Paul-Henry Cournède
2024	J	`jnl`	Learning the Language of Protein Structure. CoRR Benoit Gaujac, Jérémie Donà, Liviu Copoiu, Timothy Atkinson, Thomas Pierrot, Thomas D. Barrett
2024	A	`conf`	Multi-Objective Quality-Diversity for Crystal Structure Prediction. GECCO Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
2024	J	`jnl`	Multi-Objective Quality-Diversity for Crystal Structure Prediction. CoRR Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
2024	A*	`conf`	Multi-modal Transfer Learning between Biological Foundation Models. NeurIPS Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Christopher Blum, Lorenz Hexemer, Stefan Laurent, Maren Lang, Thomas Pierrot, Guillaume Richard
2024	J	`jnl`	Multi-modal Transfer Learning between Biological Foundation Models. CoRR 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
2024	J	`jnl`	PASTA: Pretrained Action-State Transformer Agents. RLJ Raphaël Boige, Yannis Flet-Berliac, Lars C. P. M. Quaedvlieg, Arthur Flajolet, Guillaume Richard, Thomas Pierrot
2024	J	`jnl`	Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity. CoRR Hannah Janmohamed, Maxence Faldor, Thomas Pierrot, Antoine Cully
2024	J	`jnl`	QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully
2024	J	`jnl`	Simple Guidance Mechanisms for Discrete Diffusion Models. CoRR Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P. de Almeida, Alexander Rush, Thomas Pierrot, Volodymyr Kuleshov
2023	J	`jnl`	Early computational detection of potential high-risk SARS-CoV-2 variants. Comput. Biol. Medicine Karim Beguir, Marcin J. Skwark, Yunguan Fu, Thomas Pierrot, Nicolás López Carranza, Alexandre Laterre, Ibtissem Kadri, Abir Korched, Anna U. Lowegard, Bonny Gaby Lui, Bianca Sänger, Yunpeng Liu, Asaf Poran, Alexander Muik, Ugur Sahin
2023	A*	`conf`	Evolving Populations of Diverse RL Agents with MAP-Elites. ICLR Thomas Pierrot, Arthur Flajolet
2023	J	`jnl`	Evolving Populations of Diverse RL Agents with MAP-Elites. CoRR Thomas Pierrot, Arthur Flajolet
2023	A	`conf`	Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
2023	J	`jnl`	Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
2023	A	`conf`	Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. GECCO Hannah Janmohamed, Thomas Pierrot, Antoine Cully
2023	J	`jnl`	Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. CoRR Hannah Janmohamed, Thomas Pierrot, Antoine Cully
2023	A*	`conf`	Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
2023	J	`jnl`	PASTA: Pretrained Action-State Transformer Agents. CoRR Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot
2023	J	`jnl`	QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully
2023	A	`conf`	The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2023	J	`jnl`	The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2022	J	`jnl`	Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert
2022	A	`conf`	Diversity policy gradient for sample efficient quality-diversity optimization. GECCO Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
2022	A*	`conf`	Fast Population-Based Reinforcement Learning on a Single Machine. ICML Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot
2022	J	`jnl`	Fast Population-Based Reinforcement Learning on a Single Machine. CoRR Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot
2022	J	`jnl`	Multi-Objective Quality Diversity Optimization. CoRR Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
2022	A	`conf`	Multi-objective quality diversity optimization. GECCO Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
2022	J	`jnl`	Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
2021	—	`conf`	First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud
2020	J	`jnl`	Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. CoRR Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir
2020	J	`jnl`	Learning Compositional Neural Programs for Continuous Control. CoRR Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas
2020	J	`jnl`	Offline Reinforcement Learning Hands-On. CoRR Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir
2020	J	`jnl`	QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. CoRR Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud
2019	A*	`conf`	Learning Compositional Neural Programs with Recursive Tree Search and Planning. NeurIPS Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
2019	J	`jnl`	Learning Compositional Neural Programs with Recursive Tree Search and Planning. CoRR Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
2018	J	`jnl`	First-order and second-order variants of the gradient descent: a unified framework. CoRR Thomas Pierrot, Nicolas Perrin, Olivier Sigaud