SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Data Invariants to Understand Unsupervised Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (ECCV (31), 2022)

ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. - Lars Doorenbos; Olena Torbaniuk; Stefano Cavuoti; Maurizio Paolillo; Giuseppe Longo; Massimo Brescia; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2022)

Stochastic Segmentation with Conditional Categorical Diffusion Models. - Lukas Zbinden; Lars Doorenbos; Theodoros Pissas; Adrian Thomas Huber; Raphael Sznitman; Pablo Márquez-Neila (ICCV, 2023)

Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. - Alain Jungo; Lars Doorenbos; Tommaso Da Col; Maarten Beelen; Martin Zinkernagel; Pablo Márquez-Neila; Raphael Sznitman (Int. J. Comput. Assist. Radiol. Surg., 2023)

Stochastic Segmentation with Conditional Categorical Diffusion Models. - Lukas Zbinden; Lars Doorenbos; Theodoros Pissas; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2023)

Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (ECCV (52), 2024)

SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants. - Masoud Moghani; Lars Doorenbos; William Chung-Ho Panitch; Sean Huver; Mahdi Azizian; Ken Goldberg; Animesh Garg (IROS, 2024)

Continual Unsupervised Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2024)

Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. - Lars Doorenbos; Eva Sextl; Kevin Heng; Stefano Cavuoti; Massimo Brescia; Olena Torbaniuk; Giuseppe Longo; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2024)

Non-Linear Outlier Synthesis for Out-of-Distribution Detection. - Lars Doorenbos; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2024)

Hyperbolic Random Forests. - Lars Doorenbos; Pablo Márquez-Neila; Raphael Sznitman; Pascal Mettes (Trans. Mach. Learn. Res., 2024)