Lars Doorenbos

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University of Bonn

Bonn, Germany

I am a Postdoc in the Computer Vision Group of Juergen Gall in Bonn, Germany. My research mainly focuses on reliable AI, video understanding, and machine learning for science. I completed my Ph.D. at the University of Bern, focusing on safe and reliable deep learning. Before, I did my Bachelor’s and Master’s degree in Computing Science at the University of Groningen.

news

Oct 28, 2024 Our work Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models was accepted at The Astrophysical Journal.
Jul 1, 2024 Our paper “Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection” has been accepted at the European Conference on Computer Vision.
Apr 2, 2024 I have been selected as a DAAD AInet fellow for 2024.

selected 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. 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

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