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Lars Doorenbos
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2020 – today
- 2024
- [j2]Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes:
Hyperbolic Random Forests. Trans. Mach. Learn. Res. 2024 (2024) - [i9]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 abs/2405.05226 (2024) - [i8]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Continual Unsupervised Out-of-Distribution Detection. CoRR abs/2406.02327 (2024) - [i7]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 abs/2406.18175 (2024) - [i6]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection. CoRR abs/2407.04022 (2024) - 2023
- [j1]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): 1085-1091 (2023) - [c3]Lukas Zbinden, Lars Doorenbos
, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila:
Stochastic Segmentation with Conditional Categorical Diffusion Models. ICCV 2023: 1119-1129 - [i5]Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila:
Stochastic Segmentation with Conditional Categorical Diffusion Models. CoRR abs/2303.08888 (2023) - [i4]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 abs/2304.05040 (2023) - [i3]Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes:
Hyperbolic Random Forests. CoRR abs/2308.13279 (2023) - 2022
- [c2]Lars Doorenbos
, Raphael Sznitman
, Pablo Márquez-Neila
:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. ECCV (31) 2022: 133-150 - [i2]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 abs/2208.10984 (2022) - 2021
- [c1]Lars Doorenbos
, Raphael Sznitman, Pablo Márquez-Neila:
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 111-118 - [i1]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. CoRR abs/2111.13362 (2021)
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last updated on 2024-08-10 00:32 CEST by the dblp team
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