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Results: 154
Number of items: 154
  • Open Access
    Dijkman, J., Dijkstra, M., van Roij, R., Welling, M., van de Meent, J.-W., & Ensing, B. (2025). Learning Neural Free-Energy Functionals with Pair-Correlation Matching. Physical Review Letters, 134(5), Article 056103. https://doi.org/10.1103/PhysRevLett.134.056103
  • Open Access
    Bodnar, C., Bruinsma, W. P., Lucic, A., Stanley, M., Allen, A., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J. A., Dong, H., Gupta, J. K., Thambiratnam, K., Archibald, A. T., Wu, C.-C., Heider, E., Welling, M., Turner, R. E., & Perdikaris, P. (2025). A foundation model for the Earth system. Nature, 641(8065), 1180-1187. https://doi.org/10.1038/s41586-025-09005-y
  • Open Access
    van den dool, W., Zhdanov, M., Asano, Y. M., & Welling, M. (2025). Adaptive Mesh-Quantization for Neural PDE Solvers. Transactions on Machine Learning Research, 2025, Article 5469. https://openreview.net/forum?id=NN17y897WG
  • Open Access
    Eijkelboom, F., Zimmermann, H., Vadgama, S., Bekkers, E. J., Welling, M., Naesseth, C. A., & van de Meent, J.-W. (2025). Controlled Generation with Equivariant Variational Flow Matching. Proceedings of Machine Learning Research, 267, 15066-15078. https://proceedings.mlr.press/v267/eijkelboom25a.html
  • Open Access
    Federici, M. (2025). Information theory for representation learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Ruhe, D. J. J. (2025). Structured deep learning with applications in astrophysics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    de Haan, P. (2025). Machine learning with generalised symmetries. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Romijnders, R., Louizos, C., Asano, Y. M., & Welling, M. (2024). Protect Your Score: Contact-tracing With Differential Privacy Guarantees. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Proceedings of the 38th AAAI Conference on Artificial Intelligence: AAAI-2024 (Vol. 13, pp. 14829-14837). AAAI Press. https://doi.org/10.1609/aaai.v38i13.29402
  • Open Access
    Igashov, I., Stärk, H., Vignac, C., Schneuing, A., Satorras, V. G., Frossard, P., Welling, M., Bronstein, M., & Correia, B. (2024). Equivariant 3D-conditional diffusion model for molecular linker design. Nature Machine Intelligence, 6(4), 417–427. https://doi.org/10.1038/s42256-024-00815-9
  • Open Access
    Schneuing, A., Harris, C., Du, Y., Didi, K., Jamasb, A., Igashov, I., Du, W., Gomes, C., Blundell, T. L., Lio, P., Welling, M., Bronstein, M., & Correia, B. (2024). Structure-based drug design with equivariant diffusion models. Nature Computational Science, 4(12), 899-909. https://doi.org/10.1038/s43588-024-00737-x
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