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Publications

Displaying results 311 to 320 of 681.

  1. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets

    In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2023), located at IJCAI, August 19-25, Macao, China, International Joint Conferences on Artificial Intelligence, 2023.

  2. 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.

  3. 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.

  4. 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.

  5. Riad Akrour; Asma Atamna; Jan Peters

    Convex optimization with an interpolation-based projection and its application to deep learning

    In: Machine Learning, Vol. 110, No. 8, Pages 2267-2289, Springer, 2021.

  6. Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters; Marcello Restelli

    Gaussian Approximation for Bias Reduction in Q-Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 277:1-277:51, JMLR, 2021.

  7. Niyati Rawal; Dorothea Koert; Cigdem Turan; Kristian Kersting; Jan Peters; Ruth Stock-Homburg

    ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition

    In: Frontiers in Robotics and AI, Vol. 8, Pages 0-10, Frontiers, 2021.

  8. Bang You; Jingming Xie; Youping Chen; Jan Peters; Oleg Arenz

    Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.05333, Pages 0-10, arXiv, 2022.

  9. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.07071, Pages 0-10, arXiv, 2022.

  10. Vignesh Prasad; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

    MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction

    In: 21st IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Japan, Pages 472-479, IEEE, 2022.

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