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Tim Franzmeyer
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2020 – today
- 2024
- [c6]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: 1445-1453 - [c5]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 - [c4]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 - [i7]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 abs/2404.07099 (2024) - [i6]Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob N. Foerster, João F. Henriques:
Select to Perfect: Imitating desired behavior from large multi-agent data. CoRR abs/2405.03735 (2024) - [i5]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 abs/2406.03428 (2024) - 2023
- [c3]Felipe Nuti, Tim Franzmeyer, João F. Henriques:
Extracting Reward Functions from Diffusion Models. NeurIPS 2023 - [i4]Felipe Nuti, Tim Franzmeyer, João F. Henriques:
Extracting Reward Functions from Diffusion Models. CoRR abs/2306.01804 (2023) - 2022
- [j1]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): 2360-2370 (2022) - [c2]Tim Franzmeyer, Mateusz Malinowski, João F. Henriques:
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR 2022 - [c1]Tim Franzmeyer, Philip H. S. Torr, João F. Henriques:
Learn what matters: cross-domain imitation learning with task-relevant embeddings. NeurIPS 2022 - [i3]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 abs/2207.10170 (2022) - [i2]Tim Franzmeyer, Philip H. S. Torr, João F. Henriques:
Learn what matters: cross-domain imitation learning with task-relevant embeddings. CoRR abs/2209.12093 (2022) - 2021
- [i1]Tim Franzmeyer, Mateusz Malinowski, João F. Henriques:
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR abs/2107.09598 (2021)
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