Search results
Results: 130
Number of items: 130
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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
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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
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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
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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 -
Auzina, I. A., Yıldız, Ç., Magliacane, S., Bethge, M., & Gavves, E. (2023). Modulated Neural ODEs. 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 (pp. 44572-44594). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-1931 -
Mirzaei, H., Salehi, M., Shahabi, S., Gavves, E., Snoek, C. G. M., Sabokrou, M., & Rohban, M. H. (2023). Fake It Until You Make It: Towards Accurate Near-Distribution Novelty Detection. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=QWQM0ZwZdRS -
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
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Lippe, P., Magliacane, S., Löwe, S., Asano, Y. M., Cohen, T., & Gavves, E. (2023). Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=itZ6ggvMnzS -
Pervez, A., Lippe, P., & Gavves, E. (2023). Differentiable Mathematical Programming for Object-Centric Representation Learning. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=1J-ZTr7aypY -
Pervez, A., Lippe, P., & Gavves, E. (2023). Scalable Subset Sampling with Neural Conditional Poisson Networks. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=p8hMBcPtvju
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