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Results: 22
Number of items: 22
  • Open Access
    Gkountouras, J., Lindemann, M., Lippe, P., Gavves, E., & Titov, I. (2025). Language Agents Meet Causality -- Bridging LLMs and Causal World Models. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=y9A2TpaGsE
  • Open Access
    Lippe, P. (2025). Learning causal representations in spatio-temporal systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Suk, J., de Haan, P., Lippe, P., Brune, C., & Wolterink, J. M. (2024). Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Computers in Biology and Medicine, 173, Article 108328. https://doi.org/10.1016/j.compbiomed.2024.108328
  • 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
  • Lippe, P. (2023, June 15). BISCUIT: Causal Representation Learning from Binary Interactions [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8027138
  • 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
    Lippe, P., Veeling, B. S., Perdikaris, P., Turner, R. E., & Brandstetter, J. (2023). PDE-Refiner: Achieving Accurate Long Rollouts with Temporal Neural PDE Solvers. 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. 67398-67433). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2308.05732, https://doi.org/10.52202/075280-2946
  • 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
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