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Results: 17
Number of items: 17
  • 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., 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
    Langedijk, A., Dankers, V., Lippe, P., Bos, S., Cardenas Guevara, B., Yannakoudakis, H., & Shutova, E. (2022). Meta-learning for fast cross-lingual adaptation in dependency parsing. In S. Muresan, P. Nakov, & A. Villavicencio (Eds.), The 60th Annual Meeting of the Association for Computational Linguistics: ACL 2022 : proceedings of the conference : May 22-27, 2022 (Vol. 1, pp. 8503–8520). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2104.04736, https://doi.org/10.18653/v1/2022.acl-long.582
  • 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., 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
  • Open Access
    Kiela, D., Firooz, H., Mohan, A., Singh, A., Goswami, V., Fitzpatrick, C. A., Bull, P., Lipstein, G., Nelli, T., Zhu, R., Muennighoff, N., Velioglu, R., Rose, J., Lippe, P., Holla, N., Chandra, S., Rajamanickam, S., Antoniou, G., Shutova, E., ... Parikh, D. (2021). The Hateful Memes Challenge: Competition Report. Proceedings of Machine Learning Research, 133, 344-360. http://proceedings.mlr.press/v133/kiela21a.html
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