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Results: 15
Number of items: 15
  • Open Access
    Arts, M., García Satorras, V., Huang, C.-W., Zügner, D., Federici, M., Clementi, C., Noé, F., Pinsler, R., & van den Berg, R. (2023). Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. Journal of Chemical Theory and Computation, 19(18), 6151-6159. https://doi.org/10.1021/acs.jctc.3c00702
  • Open Access
    Hoogeboom, E., Peters, J. W. T., van den Berg, R., & Welling, M. (2020). Integer Discrete Flows and Lossless Compression. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019 (Vol. 16, pp. 12114-12124). (Advances in Neural Information Processing Systems; Vol. 32). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2019/hash/9e9a30b74c49d07d8150c8c83b1ccf07-Abstract.html
  • Open Access
    Hoogeboom, E., van den Berg, R., & Welling, M. (2019). Emerging Convolutions for Generative Normalizing Flows. Proceedings of Machine Learning Research, 97, 2771-2780. http://proceedings.mlr.press/v97/hoogeboom19a.html
  • Open Access
    Patrini, G., van den Berg, R., Forré, P., Carioni, M., Bhargav, S., Welling, M., Genewein, T., & Nielsen, F. (2019). Sinkhorn AutoEncoders. In A. Globerson, & R. Silva (Eds.), Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence: UAI 2019, Tel Aviv, Israel, July 22-25, 2019 Article 253 AUAI Press. https://arxiv.org/abs/1810.01118
  • Open Access
    Veeling, B. S., van den Berg, R., & Welling, M. (2018). Predictive Uncertainty through Quantization. (1 ed.) University of Amsterdam. https://arxiv.org/abs/1810.05500v1
  • Open Access
    Schlichtkrull, M., Kipf, T. N., Bloem, P., van den Berg, R., Titov, I., & Welling, M. (2018). Modeling Relational Data with Graph Convolutional Networks. In A. Gangemi, R. Navigli, M.-E. Vidal, P. Hitzler, R. Troncy, L. Hollink, A. Tordai, & M. Alam (Eds.), The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018 : proceedings (pp. 593-607). (Lecture Notes in Computer Science; Vol. 10843). Springer. https://doi.org/10.1007/978-3-319-93417-4_38
  • Open Access
    Essler, F. H. L., van den Berg, R., & Gritsev, V. (2018). Integrable spin chains with random interactions. Physical Review B - Condensed Matter and Materials Physics, 98(2), Article 024203. https://doi.org/10.1103/PhysRevB.98.024203
  • Open Access
    Zijlstra, IJ. A. J. (2018). Advances in aneurysm treatment with a focus on middle cerebral artery aneurysms and delayed cerebral ischemia. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van den Berg, R., Hasenclever, L., Tomczak, J. M., & Welling, M. (2018). Sylvester Normalizing Flows for Variational Inference. In A. Globerson, & R. Silva (Eds.), Uncertainty in Artificial Intelligence: proceedings of the Thirty-Fourth Concerence (2018) : August 6-10, 2018, Monterey, California, USA (pp. 393-402). AUAI Press. http://auai.org/uai2018/proceedings/papers/156.pdf
  • Open Access
    van den Berg, R., Kipf, T. N., & Welling, M. (2017). Graph Convolutional Matrix Completion. ArXiv. https://arxiv.org/abs/1706.02263
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