publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs
    Felipe Pinto Coelho Nuti, Tim Franzmeyer†, and João F Henriques†
    International Conference on Machine Learning (ICML), 2025
  2. Reinforcement Learning for Quantum Control under Physical Constraints
    Jan Ole Ernst*, Aniket Chatterjee*, Tim Franzmeyer*, and Axel Kuhn
    International Conference on Machine Learning (ICML), 2025
    arXiv

2024

  1. HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits
    Tim Franzmeyer*, Aleksandar Shtedritski*, Samuel Albanie, Philip Torr, João F Henriques, and Jakob N Foerster
    Association for Computational Linguistics (ACL), 2024
    arXiv
  2. Select to Perfect: Imitating desired behavior from large multi-agent data
    Tim Franzmeyer, Edith Elkind, Philip HS Torr, Jakob N Foerster†, and João F Henriques†
    In International Conference on Learning Representations (ICLR), 2024
    arXiv
  3. Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
    Tim Franzmeyer, Stephen McAleer, João F Henriques, Jakob N Foerster, Philip HS Torr, Adel Bibi, and Christian Schroeder Witt
    In International Conference on Learning Representations (ICLR), 2024
    arXiv
  4. Rethinking out-of-distribution detection for reinforcement learning: Advancing methods for evaluation and detection
    Linas Nasvytis, Kai Sandbrink, Jakob Foerster, Tim Franzmeyer†, and Christian Schroeder Witt†
    arXiv preprint arXiv:2404.07099, 2024

2023

  1. Extracting Reward Functions from Diffusion Models
    Felipe Pinto Coelho Nuti*, Tim Franzmeyer*, and João F Henriques
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
    arXiv

2022

  1. Learn what matters: cross-domain imitation learning with task-relevant embeddings
    Tim Franzmeyer, Philip HS Torr, and João F Henriques
    In Advances in Neural Information Processing Systems (NeurIPS), 2022
    arXiv
  2. Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
    Tim Franzmeyer, Mateusz Malinowski, and João F Henriques
    International Conference on Learning Representations (ICLR), 2022
    arXiv
  3. Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes
    Brian Matejek*, Tim Franzmeyer*, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Jeff W Lichtman, and Hanspeter Pfister
    IEEE Transactions on Medical Imaging, 2022
    Code Website