Skip to main content Skip to main navigation

Publications

Displaying results 1711 to 1720 of 14859.

  1. Tim Woydt; Moritz Willig; Antonia Wüst; Lukas Helff; Wolfgang Stammer; Constantin A. Rothkopf; Kristian Kersting

    Fodor and Pylyshyn's Legacy - Still No Human-like Systematic Compositionality in Neural Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.01820, Pages 1-18, Computing Research Repository, 2025.

  2. David Steinmann; Wolfgang Stammer; Antonia Wüst; Kristian Kersting

    Object Centric Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.24492, Pages 1-26, Computing Research Repository, 2025.

  3. Mehdi Vali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; Rafet Sifa; Nicolas Flores-Herr; Joachim Köhler; Patrick Schramowski; Michael Fromm; Kristian Kersting

    Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.22232, Pages 1-38, Computing Research Repository, 2025.

  4. Mathias Trampler; Marc Tabie; Julia Habenischt; Elsa Andrea Kirchner

    Exoskeleton based microgravity simulation for astronaut training

    In: MDPI Engineering Proceedings (E-ISSN 2673-4591). EASN International Conference on Innovation in Aviation & Space towards Sustainability Today & Tomorrow (EASN-2025), 15th, October 14-17, Madrid, Spain, MDPI, 2026.

  5. Khang Nguyen; An T. Le; Tien Pham; Manfred Huber; Jan Peters; Minh Nhat Vu

    FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.06135, Pages 1-7, arXiv, 2025.

  6. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De emphQ-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.01437, Pages 1-26, arXiv, 2025.

  7. Nico Bohlinger; Jan Peters

    Massively Scaling Explicit Policy-conditioned Value Functions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11949, Pages 1-5, arXiv, 2025.

  8. Daniel Palenicek; Florian Vogt; Jan Peters

    Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.07523, Pages 1-23, arXiv, 2025.

  9. Fabian Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters; Oliver Weeger

    Stable Port-Hamiltonian Neural Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02480, Pages 1-15, arXiv, 2025.

  10. Onur Celik; Zechu Li; Denis Blessing; Ge Li; Daniel Palanicek; Jan Peters; Georgia Chalvatzaki; Gerhard Neumann

    DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02316, Pages 1-20, arXiv, 2025.

Year

More options