Skip to main content Skip to main navigation

Publications

Displaying results 211 to 220 of 682.
  1. Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent; Bjarne Gregori; Elisabeth Dillies; Jan Peters; Constantin A. Rothkopf; Kristian Kersting

    Deep Reinforcement Learning Agents are not even close to Human Intelligence

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.21731, Pages 1-49, Computing Research Repository, 2025.

  2. Nick Kocher; Christian Wassermann; Leona Hennig; Jonas Seng; Holger H. Hoos; Kristian Kersting; Marius Lindauer; Matthias S. Müller

    Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.15631, Pages 1-10, Computing Research Repository, 2025.

  3. Zihan Ye; Oleg Arenz; Kristian Kersting

    Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.11661, Pages 1-23, Computing Research Repository, 2025.

  4. Jannis Blüml; Cedric Derstroff; Bjarne Gregori; Elisabeth Dillies; Quentin Delfosse; Kristian Kersting

    Deep Reinforcement Learning via Object-Centric Attention

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.03024, Pages 1-39, Computing Research Repository, 2025.

  5. Miro Miranda Lorenz; Marcela Charfuelan Oliva; Matias Valdenegro-Toro; Andreas Dengel

    Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction

    In: PAIS. European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, Pages 5384-5391, IOS Press, 2025.

  6. Sara Narteni; Alberto Carlevaro; Zeming Duan; Serge Autexier; Maurizio Mongelli

    Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation

    In: Khuong An Nguyen; Zhiyuan Luo; Harris Papadopoulos; Tuwe Löfström; Lars Carlsson; Henrik Boström (Hrsg.). Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications. Symposium in Conformal and Probabilistic Prediction with Applications (COPA-2025), September 10-12, London, United Kingdom, Pages 778-780, Proceedings of Machine Learning Research (PMLR), Vol. 266, PMLR, 9/2025.

  7. Neural Spatiotemporal Point Processes: Trends and Challenges

    In: Transactions on Machine Learning Research (TMLR), Vol. NA, Pages 1-27, JMLR, 11/2025.

  8. Arseny Skryagin; Daniel Ochs; Phillip Deibert; Simon Kohaut; Devendra Singh Dhami; Kristian Kersting

    Answer Set Networks: Casting Answer Set Programming into Deep Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.14814, Pages 1-16, arXiv, 2024.

  9. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.04064, Pages 1-17, arXiv, 2024.

  10. Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

    Forecasting Company Fundamentals

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2411.05791, Pages 1-26, arXiv, 2024.