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Publications

Displaying results 1131 to 1140 of 14895.

  1. Michael Poli; Armin W. Thomas; Eric Nguyen; Pragaash Ponnusamy; Björn Deiseroth; Kristian Kersting; Taiji Suzuki; Brian L. Hie; Stefano Ermon; Christopher Ré; Ce Zhang; Stefano Massaroli

    Mechanistic Design and Scaling of Hybrid Architectures

    In: Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. International Conference on Machine Learning (ICML), OpenReview.net, 2024.

  2. Jonas Seng; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG

    In: The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024. International Conference on Learning Representations (ICLR), OpenReview.net, 2024.

  3. Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach

    T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung Chen (Hrsg.). Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. Conference on Empirical Methods in Natural Language Processing (EMNLP), Pages 21829-21851, Association for Computational Linguistics, 2024.

  4. Dyuman Aditya; Junning Huang; Nico Bohlinger; Piotr Kicki; Krzysztof Walas; Jan Peters; Matteo Luperto; Davide Tateo

    Robust Localization, Mapping, and Navigation for Quadruped Robots

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.02272, Pages 1-8, arXiv, 2025.

  5. An T. Le; Khai Nguyen; Minh Nhat Vu; Jo~ao Carvalho; Jan Peters

    Model Tensor Planning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.01059, Pages 1-24, arXiv, 2025.

  6. Niklas Funk; Changqi Chen; Tim Schneider; Georgia Chalvatzaki; Roberto Calandra; Jan Peters

    On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.13618, Pages 1-9, arXiv, 2025.

  7. Jiayun Li; Kay Pompetzki; An T. Le; Haolei Tong; Jan Peters; Georgia Chalvatzaki

    Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.04936, Pages 1-14, arXiv, 2025.

  8. Leonhard Keller; Daniel Tanneberg; Jan Peters

    Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.21406, Pages 1-8, arXiv, 2025.

  9. Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; Jong-Kook Kim; Gian Antonio Susto; Shubham Vyas; Dennis Mronga; Boris Belousov; Jan Peters; Frank Kirchner; Shivesh Kumar

    Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition

    In: IEEE Robotics & Automation Magazine (RAM), Vol. XX, Pages 2-12, IEEE, 2025.

  10. Nico Bohlinger; Jonathan Kinzel; Daniel Palenicek; Lukasz Antczak; Jan Peters

    Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.08375, Pages 1-8, arXiv, 2025.

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