Leon Lang

According to our database, Leon Lang authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Modeling Human Beliefs about AI Behavior for Scalable Oversight.

Leon Lang, Patrick Forré

CoRR, February, 2025

2024

Factored space models: Towards causality between levels of abstraction.

Scott Garrabrant, Matthias Georg Mayer, Magdalena Wache, Leon Lang, Sam Eisenstat, Holger Dell

CoRR, 2024

Abstract Markov Random Fields.

Leon Lang, Clélia de Mulatier, Rick Quax, Patrick Forré

CoRR, 2024

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 Skalse

CoRR, 2024

When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning.

Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons

CoRR, 2024

When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback.

Leon Lang, Davis Foote, Stuart J. Russell, Anca D. Dragan, Erik Jenner, Scott Emmons

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Evaluating Shutdown Avoidance of Language Models in Textual Scenarios.

Teun van der Weij, Simon Lermen, Leon Lang

CoRR, 2023

2022

Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu's Theorem.

Leon Lang, Pierre Baudot, Rick Quax, Patrick Forré

CoRR, 2022

A Program to Build E(N)-Equivariant Steerable CNNs.

Gabriele Cesa, Leon Lang, Maurice Weiler

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels.

Leon Lang, Maurice Weiler

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Learning to Request Guidance in Emergent Communication.

Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni

CoRR, 2019

Learning to request guidance in emergent language.

Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni

Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, 2019