Thomas D. Barrett

26 papers A* 6C 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Bootstrap Your Own Teacher: Online Policy Distillation for Multi-Game Reinforcement Learning. CoG Donal Byrne, Marko Tot, Paul Duckworth, Clément Bonnet, Alexandre Laterre, Thomas D. Barrett
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`	Metalic: Meta-Learning In-Context with Protein Language Models. ICLR Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau-Luis, Paul Duckworth
2025	J	`jnl`	Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking. CoRR Shikha Surana, Nathan Grinsztajn, Timothy Atkinson, Paul Duckworth, Thomas D. Barrett
2024	J	`jnl`	BoostMD: Accelerating molecular sampling by leveraging ML force field features from previous time-steps. CoRR Lars L. Schaaf, Ilyes Batatia, Christoph Brunken, Thomas D. Barrett, Jules Tilly
2024	J	`jnl`	Learning the Language of Protein Structure. CoRR Benoit Gaujac, Jérémie Donà, Liviu Copoiu, Timothy Atkinson, Thomas Pierrot, Thomas D. Barrett
2024	J	`jnl`	Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization. CoRR Félix Chalumeau, Refiloe Shabe, Noah de Nicola, Arnu Pretorius, Thomas D. Barrett, Nathan Grinsztajn
2024	J	`jnl`	Metalic: Meta-Learning In-Context with Protein Language Models. CoRR Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau Luis, Paul Duckworth
2024	A*	`conf`	Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs. ICML Andries P. Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D. Barrett, Arnu Pretorius
2023	J	`jnl`	Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. CoRR Andries P. Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Abebe Tessera, Thomas D. Barrett, Arnu Pretorius
2023	J	`jnl`	Combinatorial Optimization with Policy Adaptation using Latent Space Search. CoRR Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett
2023	J	`jnl`	ManyFold: an efficient and flexible library for training and validating protein folding models. Bioinform. Amelia Villegas-Morcillo, Louis Robinson, Arthur Flajolet, Thomas D. Barrett
2023	A*	`conf`	Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories. AAAI Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett
2022	J	`jnl`	Autoregressive neural-network wavefunctions for ab initio quantum chemistry. Nat. Mach. Intell. Thomas D. Barrett, Aleksei O. Malyshev, A. I. Lvovsky
2022	J	`jnl`	Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration. CoRR Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre
2022	J	`jnl`	Population-Based Reinforcement Learning for Combinatorial Optimization. CoRR Nathan Grinsztajn, Daniel Furelos-Blanco, Thomas D. Barrett
2022	J	`jnl`	Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories. CoRR Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett
2022	A*	`conf`	Universally Expressive Communication in Multi-Agent Reinforcement Learning. NeurIPS Matthew Morris, Thomas D. Barrett, Arnu Pretorius
2022	J	`jnl`	Universally Expressive Communication in Multi-Agent Reinforcement Learning. CoRR Matthew Morris, Thomas D. Barrett, Arnu Pretorius
2021	J	`jnl`	Autoregressive neural-network wavefunctions for ab initio quantum chemistry. CoRR Thomas D. Barrett, Aleksei O. Malyshev, A. I. Lvovsky
2021	J	`jnl`	One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. CoRR Clément Bonnet, Paul Caron, Thomas D. Barrett, Ian Davies, Alexandre Laterre
2020	A*	`conf`	Exploratory Combinatorial Optimization with Reinforcement Learning. AAAI Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky
2020	A*	`conf`	Learning Disentangled Representations and Group Structure of Dynamical Environments. NeurIPS Robin Quessard, Thomas D. Barrett, William R. Clements
2020	J	`jnl`	Learning Group Structure and Disentangled Representations of Dynamical Environments. CoRR Robin Quessard, Thomas D. Barrett, William R. Clements
2019	J	`jnl`	End-to-end optical backpropagation for training neural networks. CoRR Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang, A. I. Lvovsky
2019	J	`jnl`	Exploratory Combinatorial Optimization with Reinforcement Learning. CoRR Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky