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Results: 114
Number of items: 114
  • Open Access
    Salehi, S., Dorkenwald, M., Thoker, F. M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). SIGMA: Sinkhorn-Guided Masked Video Modeling. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. XXIV, pp. 293-312). (Lecture Notes in Computer Science; Vol. 15082). Springer. https://doi.org/10.1007/978-3-031-72691-0_17
  • Open Access
    Mojtahedi, S. M. (2025). Unmasking imaging biomarkers with deep learning: Applications in acute ischemic stroke. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gabel, A., Quax, R., & Gavves, E. (2025). Type-II neural symmetry detection with Lie theory. Scientific Reports, 15, Article 33500. https://doi.org/10.1038/s41598-025-17098-8
  • Kofinas, M., Knyazev, B., Zhang, Y., Chen, Y., Burghouts, G. J., Gavves, S., Snoek, C. G., & Zhang, D. (2024, May 8). CNN Wild Park - Graph Neural Networks for Learning Equivariant Representations of Neural Networks [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12797219
  • Open Access
    Egorov, E., Valperga, R., & Gavves, E. (2024). Ai-sampler: Adversarial Learning of Markov kernels with involutive maps. Proceedings of Machine Learning Research, 235, 12304-12317. https://proceedings.mlr.press/v235/egorov24a.html
  • Open Access
    Liu, J., Yin, W., Wang, H., Chen, Y., Sonke, J.-J., & Gavves, E. (2024). Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. In 2024 International Conference in 3D Vision: 3DV 2024 : 18-21 March 2024, Davos, Switzerland : proceedings (pp. 810-819). IEEE Computer Society. https://doi.org/10.1109/3DV62453.2024.00045
  • Open Access
    Wang, H., Yan, C., Chen, K., Jiang, X., Tang, X., Hu, Y., Kang, G., Xie, W., & Gavves, E. (2024). OV-VIS: Open-Vocabulary Video Instance Segmentation. International Journal of Computer Vision, 132(11), 5048-5065. https://doi.org/10.1007/s11263-024-02076-w
  • Open Access
    Liu, Y., Magliacane, S., Kofinas, M., & Gavves, E. (2024). Amortized Equation Discovery in Hybrid Dynamical Systems. Proceedings of Machine Learning Research, 235, 31645-31668. https://proceedings.mlr.press/v235/liu24at.html
  • Open Access
    Papa, S., Valperga, R., Knigge, D., Kofinas, M., Lippe, P., Sonke, J.-J., & Gavves, E. (2024). How to Train Neural Field Representations: A Comprehensive Study and Benchmark. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 22616-22625). IEEE Computer Society. https://doi.org/10.48550/arXiv.2312.10531, https://doi.org/10.1109/CVPR52733.2024.02134
  • 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
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