Human-interpretable model explainability on high-dimensional data. - Damien de Mijolla; Christopher Frye; Markus Kunesch; John Mansir; Ilya Feige (CoRR, 2020)

Causal Analysis of Agent Behavior for AI Safety. - Grégoire Delétang; Jordi Grau-Moya; Miljan Martic; Tim Genewein; Tom McGrath; Vladimir Mikulik; Markus Kunesch; Shane Legg; Pedro A. Ortega (CoRR, 2021)

Shaking the foundations: delusions in sequence models for interaction and control. - Pedro A. Ortega; Markus Kunesch; Grégoire Delétang; Tim Genewein; Jordi Grau-Moya; Joel Veness; Jonas Buchli; Jonas Degrave; Bilal Piot; Julien Pérolat; Tom Everitt; Corentin Tallec; et al. (CoRR, 2021)

Model-Free Risk-Sensitive Reinforcement Learning. - Grégoire Delétang; Jordi Grau-Moya; Markus Kunesch; Tim Genewein; Rob Brekelmans; Shane Legg; Pedro A. Ortega (CoRR, 2021)

GRChombo: An adaptable numerical relativity code for fundamental physics. - Tomas Andrade; Llibert Aresté Saló; Josu C. Aurrekoetxea; Jamie Bamber; Katy Clough; Robin Croft; Eloy de Jong; Amelia Drew; Alejandro Duran; Pedro Ferreira; Pau Figueras; Hal Finkel; et al. (J. Open Source Softw., 2021)

Beyond Bayes-optimality: meta-learning what you know you don't know. - Jordi Grau-Moya; Grégoire Delétang; Markus Kunesch; Tim Genewein; Elliot Catt; Kevin Li; Anian Ruoss; Chris Cundy; Joel Veness; Jane X. Wang; Marcus Hutter; Christopher Summerfield; et al. (CoRR, 2022)

Your Policy Regularizer is Secretly an Adversary. - Rob Brekelmans; Tim Genewein; Jordi Grau-Moya; Grégoire Delétang; Markus Kunesch; Shane Legg; Pedro A. Ortega (Trans. Mach. Learn. Res., 2022)

Representation in AI Evaluations. - A. Stevie Bergman; Lisa Anne Hendricks; Maribeth Rauh; Boxi Wu; William Agnew; Markus Kunesch; Isabella Duan; Iason Gabriel; William Isaac 001 (FAccT, 2023)

Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity. - Yiran Mao; Madeline G. Reinecke; Markus Kunesch; Edgar A. Duéñez-Guzmán; Ramona Comanescu; Julia Haas; Joel Z. Leibo (CoRR, 2023)

The Puzzle of Evaluating Moral Cognition in Artificial Agents. - Madeline G. Reinecke; Yiran Mao; Markus Kunesch; Edgar A. Duéñez-Guzmán; Julia Haas; Joel Z. Leibo (Cogn. Sci., 2023)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

LearnLM: Improving Gemini for Learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Brett Wiltshire; Brian Veprek; Daniel Gillick; Daniel Kasenberg; Derek Ahmed; Irina Jurenka; James Cohan; Jennifer She; et al. (CoRR, 2024)

Evaluating Gemini in an arena for learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Ankit Anand; Avishkar Bhoopchand; Brett Wiltshire; Daniel Gillick; Daniel Kasenberg; Eleni Sgouritsa; Gal Elidan; Hengrui Liu; et al. (CoRR, 2025)