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Thomas McGrath
Thomas McGrath
Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Acquisition of chess knowledge in alphazero
T McGrath, A Kapishnikov, N Toma¹ev, A Pearce, M Wattenberg, ...
Proceedings of the National Academy of Sciences 119 (47), e2206625119, 2022
1202022
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
812019
Biochemical machines for the interconversion of mutual information and work
T McGrath, NS Jones, PR Ten Wolde, TE Ouldridge
Physical review letters 118 (2), 028101, 2017
662017
Meta-trained agents implement bayes-optimal agents
V Mikulik, G Delétang, T McGrath, T Genewein, M Martic, S Legg, ...
Advances in neural information processing systems 33, 18691-18703, 2020
362020
Tracr: Compiled transformers as a laboratory for interpretability
D Lindner, J Kramár, S Farquhar, M Rahtz, T McGrath, V Mikulik
Advances in Neural Information Processing Systems 36, 2024
272024
Algorithms for causal reasoning in probability trees
T Genewein, T McGrath, G Delétang, V Mikulik, M Martic, S Legg, ...
arXiv preprint arXiv:2010.12237, 2020
162020
Predicting human deliberative judgments with machine learning
O Evans, A Stuhlmüller, C Cundy, R Carey, Z Kenton, T McGrath, ...
Technical report, Technical report, 2018
152018
The hydra effect: Emergent self-repair in language model computations
T McGrath, M Rahtz, J Kramar, V Mikulik, S Legg
arXiv preprint arXiv:2307.15771, 2023
142023
Causal analysis of agent behavior for ai safety
G Déletang, J Grau-Moya, M Martic, T Genewein, T McGrath, V Mikulik, ...
arXiv preprint arXiv:2103.03938, 2021
102021
Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction
T McGrath, KG Murphy, NS Jones
Journal of The Royal Society Interface 15 (138), 20170736, 2018
102018
Bridging the human-ai knowledge gap: Concept discovery and transfer in alphazero
L Schut, N Tomasev, T McGrath, D Hassabis, U Paquet, B Kim
arXiv preprint arXiv:2310.16410, 2023
72023
Copy suppression: Comprehensively understanding an attention head
C McDougall, A Conmy, C Rushing, T McGrath, N Nanda
arXiv preprint arXiv:2310.04625, 2023
62023
The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents
TM McGrath, E Spreckley, AF Rodriguez, C Viscomi, A Alamshah, ...
PLoS Biology 17 (12), e3000482, 2019
52019
Entropy generation during computation-is it really avoidable, even in principle?
T Ouldridge, R Brittain, N Jones, T McGrath
APS March Meeting Abstracts 2022, Y09. 001, 2022
2022
Energetics, information, and self-regulation
TM McGrath
Imperial College London, 2020
2020
Interpreting, forecasting, and controlling feeding behaviour using high-resolution data
TM McGrath, E Spreckley, AF Rodriguez, C Viscomi, A Alamshah, ...
bioRxiv, 578344, 2019
2019
Tracr: Compiled Transformers as a Laboratory for Interpretability
T McGrath, V Mikulik
The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents-Supplementary Material
TM McGrath, E Spreckley, AF Rodriguez, C Viscomi, A Alamshah, ...
Meta-learning of Sequential Strategies Meta-learning of Sequential Strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
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