Mindermann, Sören

8 publications

TMLR 2026 Open Technical Problems in Open-Weight AI Model Risk Management Stephen Casper, Kyle O'Brien, Shayne Longpre, Elizabeth Seger, Kevin Klyman, Rishi Bommasani, Aniruddha Nrusimha, Ilia Shumailov, Sören Mindermann, Steven Basart, Frank Rudzicz, Kellin Pelrine, Avijit Ghosh, Andrew Strait, Robert Kirk, Dan Hendrycks, Peter Henderson, J Zico Kolter, Geoffrey Irving, Yarin Gal, Yoshua Bengio, Dylan Hadfield-Menell

ICLR 2024 How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions Lorenzo Pacchiardi, Alex James Chan, Sören Mindermann, Ilan Moscovitz, Alexa Yue Pan, Yarin Gal, Owain Evans, Jan M. Brauner

ICLR 2024 The Alignment Problem from a Deep Learning Perspective Richard Ngo, Lawrence Chan, Sören Mindermann

ICML 2022 Prioritized Training on Points That Are Learnable, Worth Learning, and Not yet Learnt Sören Mindermann, Jan M Brauner, Muhammed T Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal

ICML 2021 Quantifying Ignorance in Individual-Level Causal-Effect Estimates Under Hidden Confounding Andrew Jesson, Sören Mindermann, Yarin Gal, Uri Shalit

NeurIPS 2020 How Robust Are the Estimated Effects of Nonpharmaceutical Interventions Against COVID-19? Mrinank Sharma, Sören Mindermann, Jan Brauner, Gavin Leech, Anna Stephenson, Tomáš Gavenčiak, Jan Kulveit, Yee Whye Teh, Leonid Chindelevitch, Yarin Gal

NeurIPS 2020 Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models Andrew Jesson, Sören Mindermann, Uri Shalit, Yarin Gal

NeurIPS 2018 Occam's Razor Is Insufficient to Infer the Preferences of Irrational Agents Stuart Armstrong, Sören Mindermann