| GRChombo: numerical relativity with adaptive mesh refinement K Clough, P Figueras, H Finkel, M Kunesch, EA Lim, S Tunyasuvunakool Classical and Quantum Gravity 32 (24), 245011, 2015 | 170 | 2015 |
| End point of black ring instabilities and the weak cosmic censorship conjecture P Figueras, M Kunesch, S Tunyasuvunakool Physical review letters 116 (7), 071102, 2016 | 128 | 2016 |
| The DeepMind JAX Ecosystem, 2020 I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/deepmind 18, 2010 | 103 | 2010 |
| End point of the ultraspinning instability and violation of cosmic censorship P Figueras, M Kunesch, L Lehner, S Tunyasuvunakool Physical Review Letters 118 (15), 151103, 2017 | 86 | 2017 |
| GRChombo: An adaptable numerical relativity code for fundamental physics T Andrade, LA Salo, JC Aurrekoetxea, J Bamber, K Clough, R Croft, ... arXiv preprint arXiv:2201.03458, 2022 | 83 | 2022 |
| Shaking the foundations: delusions in sequence models for interaction and control PA Ortega, M Kunesch, G Delétang, T Genewein, J Grau-Moya, J Veness, ... arXiv preprint arXiv:2110.10819, 2021 | 64 | 2021 |
| The DeepMind JAX Ecosystem, 2020 IB DeepMind, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/google-deepmind, 0 | 28 | |
| End point of nonaxisymmetric black hole instabilities in higher dimensions H Bantilan, P Figueras, M Kunesch, RP Macedo Physical Review D 100 (8), 086014, 2019 | 27 | 2019 |
| Nonspherically symmetric collapse in asymptotically AdS spacetimes H Bantilan, P Figueras, M Kunesch, P Romatschke Physical review letters 119 (19), 191103, 2017 | 27 | 2017 |
| Representation in AI evaluations AS Bergman, LA Hendricks, M Rauh, B Wu, W Agnew, M Kunesch, I Duan, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 18 | 2023 |
| Dimensional reduction in numerical relativity: Modified cartoon formalism and regularization WG Cook, P Figueras, M Kunesch, U Sperhake, S Tunyasuvunakool International Journal of Modern Physics D 25 (09), 1641013, 2016 | 18 | 2016 |
| Towards responsible development of generative AI for education: An evaluation-driven approach I Jurenka, M Kunesch, KR McKee, D Gillick, S Zhu, S Wiltberger, SM Phal, ... arXiv preprint arXiv:2407.12687, 2024 | 14 | 2024 |
| The DeepMind JAX Ecosystem IB DeepMind, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... | 13 | 2020 |
| Human-interpretable model explainability on high-dimensional data D de Mijolla, C Frye, M Kunesch, J Mansir, I Feige arXiv preprint arXiv:2010.07384, 2020 | 12 | 2020 |
| Model-free risk-sensitive reinforcement learning G Delétang, J Grau-Moya, M Kunesch, T Genewein, R Brekelmans, ... arXiv preprint arXiv:2111.02907, 2021 | 11 | 2021 |
| 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 | 11 | 2021 |
| Your policy regularizer is secretly an adversary R Brekelmans, T Genewein, J Grau-Moya, G Delétang, M Kunesch, ... arXiv preprint arXiv:2203.12592, 2022 | 10 | 2022 |
| The puzzle of evaluating moral cognition in artificial agents MG Reinecke, Y Mao, M Kunesch, EA Duéñez‐Guzmán, J Haas, JZ Leibo Cognitive Science 47 (8), e13315, 2023 | 7 | 2023 |
| Numerical simulations of instabilities in general relativity M Kunesch | 4 | 2018 |
| Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity Y Mao, MG Reinecke, M Kunesch, EA Duéñez-Guzmán, R Comanescu, ... arXiv preprint arXiv:2305.18269, 2023 | 3 | 2023 |
Pau FiguerasRoyal Society University Research Fellow, School of Mathematical Sciences, Queen Mary University ofGeverifieerd e-mailadres voor qmul.ac.uk