F-EBM: Energy Based Learning of Functional Data. - Jen Ning Lim; Sebastian J. Vollmer; Lorenz Wolf; Andrew B. Duncan (CoRR, 2022)

Energy-Based Models for Functional Data using Path Measure Tilting. - Jen Ning Lim; Sebastian J. Vollmer; Lorenz Wolf; Andrew B. Duncan (AISTATS, 2023)

Augmented Modular Reinforcement Learning based on Heterogeneous Knowledge. - Lorenz Wolf; Mirco Musolesi (CoRR, 2023)

Private Selection with Heterogeneous Sensitivities. - Daniela Antonova; Allegra Laro; Audra McMillan; Lorenz Wolf (SaTML, 2025)

This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs. - Lorenz Wolf; Sangwoong Yoon; Ilija Bogunovic (CoRR, 2025)

Reward Model Overoptimisation in Iterated RLHF. - Lorenz Wolf; Robert Kirk; Mirco Musolesi (CoRR, 2025)