publications

Full list of publications.

2024

  1. Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
    Lars Doorenbos, Raphael Sznitman, and Pablo Márquez-Neila
    European Conference on Computer Vision, 2024
  2. Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models
    Lars Doorenbos*, Eva Sextl*, Kevin Heng, and 6 more authors
    arXiv preprint arXiv:2406.18175, 2024
    *equal contribution
  3. SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants
    Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, and 4 more authors
    International Conference on Intelligent Robots and Systems, 2024
  4. Continual Unsupervised Out-of-Distribution Detection
    Lars Doorenbos, Raphael Sznitman, and Pablo Márquez-Neila
    arXiv preprint arXiv:2406.02327, 2024
  5. SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants
    Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, and 4 more authors
    ICRA Continuum, Compliant, Cooperative, Cognitive Surgical Robotic Systems in the Embodied AI Era Workshop 2024, 2024
  6. Hyperbolic Random Forests
    Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, and 1 more author
    Transactions on Machine Learning Research, 2024

2023

  1. Stochastic Segmentation with Conditional Categorical Diffusion Models
    Lukas Zbinden*, Lars Doorenbos*, Theodoros Pissas, and 3 more authors
    International Conference on Computer Vision, 2023
    *equal contribution
  2. Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery
    Alain Jungo, Lars Doorenbos, Tommaso Da Col, and 4 more authors
    International journal of computer assisted radiology and surgery, 2023

2022

  1. Generating astronomical spectra from photometry with conditional diffusion models
    Lars Doorenbos, Stefano Cavuoti, Giuseppe Longo, and 3 more authors
    NeurIPS: Machine Learning for the Physical Sciences Workshop, 2022
  2. Data invariants to understand unsupervised out-of-distribution detection
    Lars Doorenbos, Raphael Sznitman, and Pablo Márquez-Neila
    In European Conference on Computer Vision, 2022
  3. ulisse: A tool for one-shot sky exploration and its application for detection of active galactic nuclei
    Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, and 5 more authors
    Astronomy & Astrophysics, 2022
  4. Biomedical image analysis competitions: The state of current participation practice
    Matthias Eisenmann, Annika Reinke, Vivienn Weru, and 8 more authors
    arXiv preprint arXiv:2212.08568, 2022

2021

  1. Optimising and comparing source-extraction tools using objective segmentation quality criteria
    Caroline Haigh, Nushkia Chamba, Aku Venhola, and 4 more authors
    Astronomy & Astrophysics, 2021
  2. SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes
    Lars Doorenbos, Raphael Sznitman, and Pablo Márquez-Neila
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
  3. Comparison of outlier detection methods on astronomical image data
    Lars Doorenbos, Stefano Cavuoti, Massimo Brescia, and 2 more authors
    Intelligent Astrophysics, 2021