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Results: 22
Number of items: 22
  • Open Access
    Löwe, S., Lippe, P., Locatello, F., & Welling, M. (2023). Rotating Features for Object Discovery. 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. 59606-59635). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2306.00600, https://doi.org/10.52202/075280-2605
  • 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
    Brehmer, J., Cohen, T., De Haan, P., & Lippe, P. (2023). Weakly supervised causal representation learning. 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. 50, pp. 38319-38331). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2203.16437
  • Lippe, P. (2022, June 15). iCITRIS - Causal Representation Learning Datasets [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6570441
  • Lippe, P. (2022, June 13). CITRIS - Causal Representation Learning Datasets [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6637749
  • Suk, J., de Haan, P., Lippe, P., Brune, C., & Wolterink, J. M. (2022). Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. In E. Puyol Antón, M. Pop, C. Martín-Isla, M. Sermesant, A. Suinesiaputra, O. Camara, K. Lekadir, & A. Young (Eds.), Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge: 12th International Workshop, STACOM 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : revised selected papers (pp. 93-102). (Lecture Notes in Computer Science; Vol. 13131). Springer. https://doi.org/10.1007/978-3-030-93722-5_11
  • Open Access
    Lippe, P., Cohen, T., & Gavves, E. (2022). Efficient Neural Causal Discovery without Acyclicity Constraints. In The Tenth International Conference on Learning Representations: ICLR 2022 https://openreview.net/forum?id=eYciPrLuUhG
  • Open Access
    Löwe, S., Lippe, P., Rudolph, M., & Welling, M. (2022). Complex-Valued Autoencoders for Object Discovery. Transactions on Machine Learning Research, 2022, Article 428. https://openreview.net/forum?id=1PfcmFTXoa
  • Open Access
    Lippe, P., Ren, P., Haned, H., Voorn, B., & de Rijke, M. (2022). Simultaneously Improving Utility and User Experience in Task-oriented Dialogue Systems. Paper presented at The 2022 SIGIR Workshop On eCommerce, Madrid, Spain. https://sigir-ecom.github.io/ecom22Papers/paper_5042.pdf
  • Open Access
    Lippe, P., Magliacane, S., Löwe, S., Asano, Y. M., Cohen, T., & Gavves, E. (2022). CITRIS: Causal Identifiability from Temporal Intervened Sequences. Proceedings of Machine Learning Research, 162, 13557-13603. https://proceedings.mlr.press/v162/lippe22a.html
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