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Results: 5
Number of items: 5
  • Open Access
    Knigge, D. M., Wessels, D. R., Valperga, R., Papa, S., Sonke, J.-J., Gavves, E., & Bekkers, E. J. (2025). Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 76553-76577). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-2438
  • 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
    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
  • 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
  • Open Access
    Gabel, A., Klein, V., Valperga, R., Lamb, J. S. W., Webster, K., Quax, R., & Gavves, E. (2023). Learning Lie Group Symmetry Transformations with Neural Networks. Proceedings of Machine Learning Research, 221, 50-59. https://proceedings.mlr.press/v221/gabel23a.html
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