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Doorenbos, Lars; Márquez Neila, Pablo; Sznitman, Raphael; Mettes, Pascal (2024). Hyperbolic Random Forests. Transactions on machine learning research, 2024(05) OpenReview.net
Jungo, Alain; Doorenbos, Lars; Da Col, Tommaso; Beelen, Maarten; Zinkernagel, Martin; Márquez-Neila, Pablo; Sznitman, Raphael (2023). Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. International journal of computer assisted radiology and surgery, 18(6), pp. 1085-1091. Springer 10.1007/s11548-023-02909-y
Doorenbos, Lars; Sznitman, Raphael; Márquez-Neila, Pablo (October 2024). Learning non-linear invariants for unsupervised out-of-distribution detection. In: European Conference on Computer Vision.
Moghani, Masoud; Doorenbos, Lars; Panitch, William Chung-Ho; Huver, Sean; Azizian, Mahdi; Goldberg, Ken; Garg, Animesh (October 2024). SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants. In: International Conference on Intelligent Robots and Systems.
Zbinden, Lukas; Doorenbos, Lars; Pissas, Theodoros; Huber, Adrian Thomas; Sznitman, Raphael; Márquez Neila, Pablo (2023). Stochastic Segmentation with Conditional Categorical Diffusion Models. In: International Conference on Computer Vision (ICCV) 2023. arxiv. Cornell University 10.48550/arXiv.2303.08888
Doorenbos, Lars; Cavuoti, Stefano; Longo, Giuseppe; Brescia, Massimo; Sznitman, Raphael; Márquez-Neila, Pablo (3 December 2022). Generating astronomical spectra from photometry with conditional diffusion models (In Press). In: Machine Learning and the Physical Sciences.
Doorenbos, Lars; Sznitman, Raphael; Márquez-Neila, Pablo (October 2022). Data Invariants to Understand Unsupervised Out-of-Distribution Detection (In Press). In: European conference on computer vision.
