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Results: 114
Number of items: 114
  • Open Access
    Gabel, A., Quax, R., & Gavves, E. (2024). Data-driven Lie point symmetry detection for continuous dynamical systems. Machine Learning: Science and Technology, 5(1), Article 015037. https://doi.org/10.1088/2632-2153/ad2629
  • Papa, S., Valperga, R., Knigge, D., Kofinas, M., Lippe, P., Sonke, J.-J., & Gavves, S. (2023, December 15). Neural Field Arena - Classification [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10392793
  • Kofinas, M., Bekkers, E., Nagaraja, N. S., & Gavves, S. (2023, December 13). Dynamic gravitational field dataset - Latent Field Discovery in Interacting Dynamical Systems with Neural Fields [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10634923
  • Kofinas, M., Bekkers, E., Nagaraja, N. S., & Gavves, S. (2023, December 13). Electrostatic field dataset - Latent Field Discovery in Interacting Dynamical Systems with Neural Fields [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10631646
  • Trémuel, P. G., Gavves, E., Würsch, C., Frick, K., & Vetsch, R. (2023). Parameter-free Neural Field-based Optimal Design of Nonuniform Transmission Lines. In ICECS 2023: 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS) : 4-7 December 2023, Hilton Maslak İstanbul, Turkey (pp. 211-214). IEEE. https://doi.org/10.1109/ICECS58634.2023.10382765
  • Open Access
    Kofinas, M., Bekkers, E. J., Nagaraja, N. S., & Gavves, E. (2023). Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. 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://papers.nips.cc/paper_files/paper/2023/hash/6521bd47ebaa28228cd6c74cb85afb65-Abstract-Conference.html
  • Open Access
    Yin, W., Sonke, J. J., & Gavves, E. (2023). PC-Reg: A pyramidal prediction–correction approach for large deformation image registration. Medical Image Analysis, 90, Article 102978. https://doi.org/10.1016/j.media.2023.102978
  • Open Access
    Pervez, A. A. (2023). Structural constraints in neural network representations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Oh, C. (2023). Bayesian optimization on non-conventional search spaces. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lippe, P., Magliacane, S., Löwe, S., Asano, Y. M., Cohen, T., & Gavves, E. (2023). BISCUIT: Causal Representation Learning from Binary Interactions. Proceedings of Machine Learning Research, 216, 1263-1273. https://proceedings.mlr.press/v216/lippe23a.html
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