Thomas D Barrett
Thomas D Barrett
Senior Research Scientist, InstaDeep | Director/Co-Founder, Lumai
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Exploratory combinatorial optimization with reinforcement learning
T Barrett, W Clements, J Foerster, A Lvovsky
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3243-3250, 2020
Backpropagation through nonlinear units for the all-optical training of neural networks
X Guo, TD Barrett, ZM Wang, AI Lvovsky
Photonics Research 9 (3), B71-B80, 2021
Learning disentangled representations and group structure of dynamical environments
R Quessard, T Barrett, W Clements
Advances in Neural Information Processing Systems 33, 19727-19737, 2020
Fully reconfigurable coherent optical vector–matrix multiplication
J Spall, X Guo, TD Barrett, AI Lvovsky
Optics Letters 45 (20), 5752-5755, 2020
Autoregressive neural-network wavefunctions for ab initio quantum chemistry
TD Barrett, A Malyshev, AI Lvovsky
Nature Machine Intelligence 4 (4), 351-358, 2022
Pushing Purcell enhancement beyond its limits
TD Barrett, TH Doherty, A Kuhn
New Journal of Physics 22 (6), 063013, 2020
Polarization oscillations in birefringent emitter-cavity systems
TD Barrett, O Barter, D Stuart, B Yuen, A Kuhn
Physical Review Letters 122 (8), 083602, 2019
Nonlinear Zeeman effects in the cavity-enhanced emission of polarised photons
TD Barrett, D Stuart, O Barter, A Kuhn
New Journal of Physics 20 (7), 073030, 2018
Reinforcement learning for branch-and-bound optimisation using retrospective trajectories
CWF Parsonson, A Laterre, TD Barrett
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4061-4069, 2023
Learning to solve combinatorial graph partitioning problems via efficient exploration
TD Barrett, CWF Parsonson, A Laterre
arXiv preprint arXiv:2205.14105, 2022
How to administer an antidote to Schrödinger’s cat
JR Álvarez, M IJspeert, O Barter, B Yuen, TD Barrett, D Stuart, J Dilley, ...
Journal of Physics B: Atomic, Molecular and Optical Physics 55 (5), 054001, 2022
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
N Grinsztajn, D Furelos-Blanco, S Surana, C Bonnet, T Barrett
Advances in Neural Information Processing Systems 36, 2024
Multimode interferometry for entangling atoms in quantum networks
TD Barrett, A Rubenok, D Stuart, O Barter, A Holleczek, J Dilley, ...
Quantum Science and Technology 4 (2), 025008, 2019
Jumanji: Industry-driven hardwareaccelerated RL environments, 2022
C Bonnet, D Byrne, V Le, L Midgley, D Luo, C Waters, S Abramowitz, ...
URL https://github. com/instadeepai/jumanji, 0
Universally expressive communication in multi-agent reinforcement learning
M Morris, TD Barrett, A Pretorius
Advances in Neural Information Processing Systems 35, 33508-33522, 2022
So ManyFolds, So Little Time: Efficient Protein Structure Prediction With pLMs and MSAs
TD Barrett, A Villegas-Morcillo, L Robinson, B Gaujac, D Admete, ...
bioRxiv, 2022.10. 15.511553, 2022
One step at a time: Pros and cons of multi-step meta-gradient reinforcement learning
C Bonnet, P Caron, T Barrett, I Davies, A Laterre
arXiv preprint arXiv:2111.00206, 2021
Combinatorial optimization with policy adaptation using latent space search
F Chalumeau, S Surana, C Bonnet, N Grinsztajn, A Pretorius, A Laterre, ...
Advances in Neural Information Processing Systems 36, 2024
Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A
A Smit, P Duckworth, N Grinsztajn, K Tessera, TD Barrett, A Pretorius
arXiv preprint arXiv:2311.17371, 2023
Contrasting Sequence with Structure: Pre-training Graph Representations with PLMs
LCB Robinson, T Atkinson, L Copoiu, P Bordes, T Pierrot, T Barrett
bioRxiv, 2023.12. 01.569611, 2023
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