Lars Doorenbos

According to our database, Lars Doorenbos authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hyperbolic Random Forests.

Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes

Trans. Mach. Learn. Res., 2024

Non-Linear Outlier Synthesis for 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

Continual Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Stochastic Segmentation with Conditional Categorical Diffusion Models.

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila

CoRR, 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, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Data Invariants to Understand Unsupervised Out-of-Distribution Detection.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes.

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021