Lukas Fluri — accepted AI-conference papers

2026

Position: Anthropomorphic Misalignment Research Needs Stronger Evidence

Vansh Gupta, Peter Nutter, Samuel Stante, Andreas Krause, Florian Tramer, Lukas Fluri +2

ICML 2026oral

We argue that many Anthropomorphized Misalignment Research (AMR) studies need stronger evidence to ensure that they can provide a robust foundation for critical safety decisions, such as model deployment and regulation. By evaluating failure modes across different misalignment concepts, such as dece…

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2025

The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret

Lukas Fluri, Leon Lang, Alessandro Abate, Patrick Forré, David Krueger, Joar Max Viktor Skalse

ICML 2025poster

In reinforcement learning, specifying reward functions that capture the intended task can be very challenging. Reward learning aims to address this issue by *learning* the reward function. However, a learned reward model may have a low error on the data distribution, and yet subsequently produce a p…

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