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Results: 56
Number of items: 56
  • Open Access
    Giri, C., Granmo, O. C., & Van Hoof, H. (2024). Accelerated Tsetlin Machine Inference Through Incremental Model Re-evaluation. In 2024 International Symposium on the Tsetlin Machine (ISTM 2024): Pittsburgh, Pennsylvania, USA, 28-30 August 2024 (pp. 93-100). IEEE. https://doi.org/10.1109/ISTM62799.2024.10931270
  • Open Access
    Wöhlke, J. G. (2024). Reinforcement learning and planning for autonomous agent navigation: With a focus on sparse reward settings. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    García Satorras, V. (2024). Inductive biases for graph neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Huang, J. (2024). Learning recommender systems from biased user interactions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bakker, T., van Hoof, H., & Welling, M. (2023). Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes. In D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis, & F. Bonchi (Eds.), Machine Learning and Knowledge Discovery in Databases : Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023 : proceedings (Vol. I, pp. 3-19). (Lecture Notes in Computer Science; Vol. 14169), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.48550/arXiv.2309.05477, https://doi.org/10.1007/978-3-031-43412-9_1
  • Open Access
    Keller, T. A. (2023). Natural inductive biases for artificial intelligence. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van der Pol, E. (2023). Symmetry and structure in deep reinforcement learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wöhlke, J., Schmitt, F., & van Hoof, H. (2023). Learning Hierarchical Planning-Based Policies from Offline Data. In D. Koutra, C. Plant, M. Gomes Rodriguez, E. Baralis, & F. Bonchi (Eds.), Machine Learning and Knowledge Discovery in Databases: Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023 : proceedings (Vol. IV, pp. 489–505). (Lecture Notes in Computer Science; Vol. 14172), ( Lecture Notes in Artificial Intelligence ). Springer. https://doi.org/10.1007/978-3-031-43421-1_29
  • Open Access
    Bondesan, R., Gagrani, M., Jeon, W., Lott, C., Rainone, C., Teague, H., Van Hoof, H., Yang, Y., Zappi, P., & Zeng, W. (2023). Neural Topological Ordering for Computation Graphs. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 23, pp. 17327-17339). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/6ef586bdf0af0b609b1d0386a3ce0e4b-Abstract-Conference.html
  • Open Access
    Chen, N., Mayol-Cuevas, W. W., Karl, M., Aljalbout, E., Zeng, A., Cortese, A., Burgard, W., & van Hoof, H. (2023). Editorial: Language, affordance and physics in robot cognition and intelligent systems. Frontiers in Robotics and AI, 10, Article 1355576. https://doi.org/10.3389/frobt.2023.1355576
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