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Results: 130
Number of items: 130
  • 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
  • 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
  • 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
  • Open Access
    Bondesan, R., Gavves, E., Oh, C., & Welling, M. (2023). Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 10, pp. 6843-6858). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/2d779258dd899505b56f237de66ae470-Abstract-Conference.html
  • Open Access
    Liu, Y., Magliacane, S., Kofinas, M., & Gavves, E. (2023). Graph switching dynamical systems. Proceedings of Machine Learning Research, 202, 21867-21883. https://proceedings.mlr.press/v202/liu23z.html
  • 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
    Salehi, M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2023). Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 16490-16501). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01516, https://doi.org/10.48550/arXiv.2308.11796
  • Open Access
    Wang, H., Yan, C., Wang, S., Jiang, X., Tang, X., Hu, Y., Xie, W., & Gavves, E. (2023). Towards Open-Vocabulary Video Instance Segmentation. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 4034-4043). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.01715, https://doi.org/10.1109/ICCV51070.2023.00375
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