Lars Doorenbos

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Detection Algorithm

Diffusion Models

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

MIDOG/MOOD/Learn2Reg@MICCAI

Publications

Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. CoRR (2024)
Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, Sean Huver, Mahdi Azizian, Ken Goldberg, Animesh Garg
SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants. CoRR (2024)
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
Hyperbolic Random Forests. Trans. Mach. Learn. Res. 2024 (2024)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Continual Unsupervised Out-of-Distribution Detection. CoRR (2024)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection. CoRR (2024)
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
Hyperbolic Random Forests. CoRR (2023)
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila
Stochastic Segmentation with Conditional Categorical Diffusion Models. ICCV (2023)
Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila
Stochastic Segmentation with Conditional Categorical Diffusion Models. CoRR (2023)
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery. CoRR (2023)
Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. Int. J. Comput. Assist. Radiol. Surg. 18 (6) (2023)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. ECCV (31) (2022)
Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. CoRR (2022)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. CoRR (2021)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. MIDOG/MOOD/Learn2Reg@MICCAI (2021)