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Results: 130
Number of items: 130
  • 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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • 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 (pp. 31780-31810). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-1379
  • Open Access
    Knigge, D. M., Romero, D. W., Gu, A., Gavves, E., Bekkers, E. J., Tomczak, J. M., Hoogendoorn, M., & Sonke, J.-J. (2023). Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=ZW5aK4yCRqU
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