Barrett, Thomas D

14 publications

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

NeurIPS 2025 Memory-Enhanced Neural Solvers for Routing Problems Felix Chalumeau, Refiloe Shabe, Noah De Nicola, Arnu Pretorius, Thomas D Barrett, Nathan Grinsztajn

ICLR 2025 Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D Barrett, Juan Jose Garau-Luis, Paul Duckworth

NeurIPSW 2024 BoostMD: Accelerated Molecular Sampling Leveraging ML Force Field Features Lars Leon Schaaf, Ilyes Batatia, Jules Tilly, Thomas D Barrett

NeurIPSW 2024 Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D Barrett, Juan Jose Garau-Luis, Paul Duckworth

ICMLW 2024 Overconfident Oracles: Limitations of in Silico Sequence Design Benchmarking Shikha Surana, Nathan Grinsztajn, Timothy Atkinson, Paul Duckworth, Thomas D Barrett

ICML 2024 Should We Be Going MAD? a Look at Multi-Agent Debate Strategies for LLMs Andries Petrus Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D Barrett, Arnu Pretorius

NeurIPSW 2023 Are We Going MAD? Benchmarking Multi-Agent Debate Between Language Models for Medical Q&A Andries Petrus Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Tessera, Thomas D Barrett, Arnu Pretorius

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

AAAI 2023 Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett

NeurIPSW 2022 So ManyFolds, so Little Time: Efficient Protein Structure Prediction with pLMs and MSAs Thomas D Barrett, Amelia Villegas-Morcillo, Louis Robinson, Benoit Gaujac, David Admète, Elia Saquand, Karim Beguir, Arthur Flajolet

NeurIPS 2022 Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris, Thomas D Barrett, Arnu Pretorius

NeurIPSW 2021 One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning Clément Bonnet, Paul Caron, Thomas D Barrett, Ian Davies, Alexandre Laterre

AAAI 2020 Exploratory Combinatorial Optimization with Reinforcement Learning Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky