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Publications

Displaying results 1731 to 1740 of 14804.

  1. Quentin Delfosse; Wolfgang Stammer; Thomas Rothenbacher; Dwarak Vittal; Kristian Kersting

    Boosting Object Representation Learning via Motion and Object Continuity

    In: Danai Koutra; Claudia Plant; Manuel Gomez Rodriguez; Elena Baralis; Francesco Bonchi (Hrsg.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Pages 610-628, Lecture Notes in Computer Science, Vol. 14172, Springer, 2023.

  2. Zhongjie Yu; Martin Trapp; Kristian Kersting

    Characteristic Circuits

    In: Alice Oh; Tristan Naumann; Amir Globerson; Kate Saenko; Moritz Hardt; Sergey Levine (Hrsg.). Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. Neural Information Processing Systems (NeurIPS), Pages 1-19, arXiv, 2023.

  3. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis

    In: IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023. International Conference on Computer Vision (ICCV), Pages 4561-4573, IEEE, 2023.

  4. Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Revision Transformers: Instructing Language Models to Change Their Values

    In: Kobi Gal; Ann Nowé; Grzegorz J. Nalepa; Roy Fairstein; Roxana Radulescu (Hrsg.). ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023). European Conference on Artificial Intelligence (ECAI), Pages 756-763, Frontiers in Artificial Intelligence and Applications, Vol. 372, IOS Press, 2023.

  5. Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters; Martin W. Hoffmann

    Machine Learning with Physics Knowledge for Prediction: A Survey

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-61, arXiv, 2025.

  6. Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters; Carlo D'Eramo

    Iterated emphQ-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, arXiv, 2025.

  7. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-31, arXiv, 2025.

  8. An Thai Le; Khai Nguyen; Minh Nhat Vu; Joao Carvalho; Jan Peters

    Model Tensor Planning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-24, arXiv, 2025.

  9. Simon Kohaut; Nikolas Hohmann; Sebastian Brulin; Benedict Flade; Julian Eggert; Markus Olhofer; Jürgen Adamy; Devendra Singh Dhami; Kristian Kersting

    Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.18514, Pages 1-24, arXiv, 2024.

  10. Simon Kohaut; Benedict Flade; Julian Eggert; Devendra Singh Dhami; Kristian Kersting

    StaR Maps: Unveiling Uncertainty in Geospatial Relations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.18356, Pages 1-8, arXiv, 2024.

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