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Results: 3
Number of items: 3
  • Open Access
    Zaghen, O., Eijkelboom, F., Pouplin, A., Liu, C., Welling, M., van de Meent, J.-W., & Bekkers, E. J. (2026). Riemannian Variational Flow Matching for Material and Protein Design. Paper presented at 14th International Conference on Learning Representations, Rio de Janeiro, Brazil. https://doi.org/10.48550/arXiv.2502.12981
  • 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
    Zaghen, O., Eijkelboom, F., Pouplin, A., & Bekkers, E. J. (2025). Towards Variational Flow Matching on General Geometries. Paper presented at ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy, Singapore, Singapore. https://doi.org/10.48550/arXiv.2502.12981
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