Tim Franzmeyer

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Diffusion Model

Skeleton Extraction

Reinforcement Learning

Reward Function

Top Venues

Publications

Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. ACL (Findings) (2024)
Tim Franzmeyer, Edith Elkind, Philip H. S. Torr, Jakob N. Foerster, João F. Henriques
Select to Perfect: Imitating desired behavior from large multi-agent data. CoRR (2024)
Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. CoRR (2024)
Linas Nasvytis, Kai Sandbrink, Jakob N. Foerster, Tim Franzmeyer, Christian Schröder de Witt
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection. AAMAS (2024)
Linas Nasvytis, Kai Sandbrink, Jakob N. Foerster, Tim Franzmeyer, Christian Schröder de Witt
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection. CoRR (2024)
Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. ICLR (2024)
Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, João F. Henriques
Select to Perfect: Imitating desired behavior from large multi-agent data. ICLR (2024)
Felipe Nuti, Tim Franzmeyer, João F. Henriques
Extracting Reward Functions from Diffusion Models. CoRR (2023)
Felipe Nuti, Tim Franzmeyer, João F. Henriques
Extracting Reward Functions from Diffusion Models. NeurIPS (2023)
Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
Learn what matters: cross-domain imitation learning with task-relevant embeddings. CoRR (2022)
Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schröder de Witt
Illusionary Attacks on Sequential Decision Makers and Countermeasures. CoRR (2022)
Brian Matejek, Tim Franzmeyer, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Jeff W. Lichtman, Hanspeter Pfister
Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes. IEEE Trans. Medical Imaging 41 (9) (2022)
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR (2022)
Tim Franzmeyer, Philip H. S. Torr, João F. Henriques
Learn what matters: cross-domain imitation learning with task-relevant embeddings. NeurIPS (2022)
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR (2021)