Publications

Articles

  1. 2026

    1. Weinmann, M., & Klopotek, M. (2026). Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model. https://doi.org/10.48550/arXiv.2607.10285
    2. Egenlauf, P., Březinová, I., Andergassen, S., & Klopotek, M. (2026). Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations. Machine Learning: Science and Technology, 7, Article 2. https://doi.org/10.1088/2632-2153/ae57f8

  2. 2025

    1. Gaimann, M. U., & Klopotek, M. (2025). Optimal information injection and transfer mechanisms for active matter reservoir computing. arXiv. https://doi.org/10.48550/ARXIV.2509.01799
    2. Gaimann, M. U., & Klopotek, M. (2025). Robustly optimal dynamics for active matter reservoir computing. arXiv. https://doi.org/10.48550/ARXIV.2505.05420

Conference Talks

  1. 2026

    1. Gaimann, M. U., & Klopotek, M. (2026, August). Reservoir Computing with Active Matter Systems. International Conference of Physics Students (ICPS) 2026.
    2. Egenlauf, P., & Klopotek, M. (2026, March). From Phase-Space Fluctuations to Predictive Power: Entropy Production as a Metric for Swarm Reservoir Computing. DPG Spring Meetings 2026.
    3. Weinmann, M., & Klopotek, M. (2026, March). Autoencoder Learning Dynamics on MCMC Ising Dataset. DPG Spring Meetings 2026.
    4. Gaimann, M. U., & Klopotek, M. (2026, March). Simulations, Seminars, and Sauerkraut: An Insider’s Guide to a Physics PhD in Germany. APS Global Physics Summit 2026.
    5. Gaimann, M. U. (2026, March). Reservoir Computing with Active Matter Systems. APS Global Physics Summit 2026.

  2. 2025

    1. Gaimann, M. U., & Klopotek, M. (2025, September). Robustly optimal dynamics for reservoir computing with soft matter. DPG Fall Meeting 2025.
    2. Gaimann, M. U., & Klopotek, M. (2025, February). Reservoir Computing with Active Matter Systems. Workshop on Emergent Phenomena in Information Processing and Dynamics.
    3. Gaimann, M. U., & Klopotek, M. (2025, March). Optimal dynamical regimes for reservoir computing with soft matter. DPG Spring Meeting 2025.
    4. Lau, G. E., Gaimann, M. U., & Klopotek, M. (2025, March). `Predator-prey’ driven swarmalator systems. DPG Spring Meeting 2025.

  3. 2024

    1. Gaimann, M. U., & Klopotek, M. (2024, March). Optimal dynamical regimes for reservoir computing with soft matter. DPG Spring Meeting 2024.
    2. Weinmann, M., & Klopotek, M. (2024, March). Contextual Alignment for Robust Learning in Dynamical Systems. DPG Spring Meetings 2024.
    3. Egenlauf, P., & Klopotek, M. (2024, March). Coarse-graining non-equilibrium systems with machine learning. DPG Spring Meetings 2024.

  4. 2023

    1. Gaimann, M. U., & Klopotek, M. (2023, August). Predicting Chaotic Time Series with Active Matter Reservoir Computing. International Conference of Physics Students (ICPS) 2023.
    2. Gaimann, M. U., & Klopotek, M. (2023, March). Reservoir Computing using Active Matter Model Systems: A Physics Viewpoint. DPG Spring Meeting 2023.

Poster Contributions

  1. 2024

    1. Egenlauf, P., & Klopotek, M. (2024, March). Coarse-graining non-equilibrium systems with machine learning: from conceptual challenges to new approaches. The EPS Forum.
    2. Weinmann, M., & Klopotek, M. (2024, March). Contextual Alignment for Robust Learning in Dynamical Systems. The EPS Forum.
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