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2020 – today
- 2025
[c2]Daniela Antonova, Allegra Laro, Audra McMillan, Lorenz Wolf:
Private Selection with Heterogeneous Sensitivities. SaTML 2025: 615-635- [i6]Daniela Antonova, Allegra Laro, Audra McMillan, Lorenz Wolf:
Private Selection with Heterogeneous Sensitivities. CoRR abs/2501.05309 (2025) - [i5]Lorenz Wolf, Sangwoong Yoon, Ilija Bogunovic:
This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs. CoRR abs/2503.05856 (2025) - [i4]Lorenz Wolf, Robert Kirk, Mirco Musolesi:
Reward Model Overoptimisation in Iterated RLHF. CoRR abs/2505.18126 (2025) - [i3]Yilei Chen, Souradip Chakraborty, Lorenz Wolf, Ioannis Ch. Paschalidis, Aldo Pacchiano:
Enhancing Diversity in Large Language Models via Determinantal Point Processes. CoRR abs/2509.04784 (2025) - 2023
- [c1]Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew B. Duncan:
Energy-Based Models for Functional Data using Path Measure Tilting. AISTATS 2023: 1904-1923 - [i2]Lorenz Wolf, Mirco Musolesi:
Augmented Modular Reinforcement Learning based on Heterogeneous Knowledge. CoRR abs/2306.01158 (2023) - 2022
- [i1]Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew B. Duncan:
F-EBM: Energy Based Learning of Functional Data. CoRR abs/2202.01929 (2022)
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