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Results: 160
Number of items: 160
  • 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
    Oh, C. (2023). Bayesian optimization on non-conventional search spaces. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Putzky, P. (2023). Amortized inference in inverse problems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Louizos, C. (2022). Probabilistic reasoning for uncertainty & compression in deep learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van der Pol, E., van Hoof, H., Oliehoek, F. A., & Welling, M. (2022). Multi-Agent MDP Homomorphic Networks. In The Tenth International Conference on Learning Representations: ICLR 2022 https://doi.org/10.48550/arXiv.2110.04495
  • Open Access
    Wang, Q. (2022). Functional representation learning for uncertainty quantification and fast skill transfer. [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
  • Open Access
    Ilse, M. (2022). Invariance in deep representations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Löwe, S., Lippe, P., Rudolph, M., & Welling, M. (2022). Complex-Valued Autoencoders for Object Discovery. Transactions on Machine Learning Research, 2022, Article 428. https://openreview.net/forum?id=1PfcmFTXoa
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