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Results: 154
Number of items: 154
  • 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
    Löwe, S., Lippe, P., Locatello, F., & Welling, M. (2023). Rotating Features for Object Discovery. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2306.00600
  • Open Access
    Romijnders, R., Asano, Y. M., Louizos, C., & Welling, M. (2023). No time to waste: practical statistical contact tracing with few low-bit messages. Proceedings of Machine Learning Research, 206, 7943-7960. https://proceedings.mlr.press/v206/romijnders23a.html
  • 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
    Hoogeboom, E. (2023). Normalizing flows and diffusion models for discrete and geometric data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bondesan, R., Gavves, E., Oh, C., & Welling, M. (2023). Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. 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. 10, pp. 6843-6858). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/2d779258dd899505b56f237de66ae470-Abstract-Conference.html
  • Open Access
    Oh, C. (2023). Bayesian optimization on non-conventional search spaces. [Thesis, fully internal, Universiteit van Amsterdam].
  • Kadambi, S., Behboodi, A., Soriaga, J. B., Welling, M., Amiri, R., Yerramalli, S., & Yoo, T. (2022). Neural RF SLAM for unsupervised positioning and mapping with channel state information. In ICC 2022 - IEEE International Conference on Communications: Seoul, South Korea, 16-20 May 2022 (pp. 3238-3244). IEEE. https://doi.org/10.1109/ICC45855.2022.9838367
  • Open Access
    Keller, T. A., & Welling, M. (2022). Topographic VAEs learn Equivariant Capsules. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 34, pp. 28585-28597). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2109.01394
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