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Publications

Displaying results 331 to 340 of 661.

  1. Jilliam Maria Diaz Barros; Chen-Yu Wang; Didier Stricker; Jason Raphael Rambach

    CONFIDENCE-AWARE CLUSTERED LANDMARK FILTERING FOR HYBRID 3D FACE TRACKING

    In: IEEE (Hrsg.). Proceedings of the 30th ICIP. IEEE International Conference on Image Processing (ICIP-2023), October 8-11, Kuala Lumpur, Malaysia, IEEE, 2023.

  2. Leonid Schwenke; Martin Atzmueller

    Making Time Series Embeddings More Interpretable in Deep Learning: Extracting Higher-Level Features via Symbolic Approximation Representations

    In: Proceedings of the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2023). International FLAIRS Conference (FLAIRS-2023), May 14-17, Clearwater Beach, FL, USA, Florida Online Journals, 2023.

  3. Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters

    Sharing Knowledge in Multi-Task Deep Reinforcement Learning

    In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. International Conference on Learning Representations (ICLR), OpenReview.net, 2020.

  4. Sebastián Gómez-González; Sergey Prokudin; Bernhard Schölkopf; Jan Peters

    Real Time Trajectory Prediction Using Deep Conditional Generative Models

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 970-976, IEEE, 2020.

  5. Julien Brosseit; Benedikt Hahner; Fabio Muratore; Michael Gienger; Jan Peters

    Distilled Domain Randomization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2112.03149, Pages 0-10, arXiv, 2021.

  6. Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang; Jan Peters; Haitham Bou-Ammar

    High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.03609, Pages 0-10, arXiv, 2021.

  7. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Robust Value Iteration for Continuous Control Tasks

    In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, Virtual Event, Robotics Science and Systems, Online Proceedings, 2021.

  8. Jayasankar Santhosh; David Dzsotjan; Shoya Ishimaru

    Multimodal Assessment of Interest Levels in Reading: Integrating Eye-Tracking and Physiological Sensing

    In: IEEE Access (IEEE), Vol. 11, Pages 93994-94008, IEEE, 9/2023.

  9. Andrew S. Morgan; Daljeet Nandha; Georgia Chalvatzaki; Carlo D'Eramo; Aaron M. Dollar; Jan Peters

    Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 6672-6678, IEEE, 2021.

  10. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Value Iteration in Continuous Actions, States and Time

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2021), July 18-24, Pages 7224-7234, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

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