Lars Doorenbos
University of Bern
Bern, Switzerland
I am a Ph.D student currently based in Bern, Switzerland, where I work on creating safe and reliable deep learning models through out-of-distribution detection. Before, I completed my Bachelor’s and Master’s degree in Computing Science at the University of Groningen.
news
Apr 7, 2024 | Our paper “SuFIA: Language-guided Subtask Autonomy Towards Interactive Robotic Surgical Assistants” has been accepted at the C4SR+ workshop at ICRA 2024 |
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Apr 2, 2024 | I have been selected as a DAAD AInet fellow for 2024 |
Nov 10, 2023 | I finished my internship at Nvidia, where I worked on controlling robots with vision-language models |
Jul 18, 2023 | Our paper “Stochastic Segmentation with Conditional Categorical Diffusion Models” has been accepted at ICCV 2023 |
Apr 20, 2023 | “Generating astronomical spectra from photometry with conditional diffusion models” has been selected as an oral presentation at the Bern Data Science Day 2023 |
selected publications
2023
- Stochastic Segmentation with Conditional Categorical Diffusion ModelsInternational Conference on Computer Vision, 2023
- Hyperbolic Random ForestsarXiv preprint arXiv:2308.13279, 2023
2022
- Generating astronomical spectra from photometry with conditional diffusion modelsNeurIPS: Machine Learning for the Physical Sciences Workshop, 2022
- Data invariants to understand unsupervised out-of-distribution detectionIn European Conference on Computer Vision, 2022