Nils Lehmann

headshot.jpg

I am currently a PhD Student at the Technical University of Munich (TUM), supervised by Prof. Jonathan Bamber and Prof. Xiaoxiang Zhu, working on uncertainty quantification for sea-level rise. More broadly my interests lie in Bayesian Deep Learning, uncertainty quantification and generative modeling for Earth Observational data. I am also very passionate about open-source software and a maintainer of TorchGeo and author of Lighting-UQ-Box.

news

Sep 28, 2025 I feel very fortunate to have the chance to visit Ando Shah and Prof. John Chuang at UC Berkeley - School of Information for a research stay

research I have contributed to

  1. GEO-Bench: Toward Foundation Models for Earth Monitoring
    Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, and 14 more authors
    In Advances in Neural Information Processing Systems, 2023
  2. SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
    Adam Stewart, Nils Lehmann, Isaac Corley, and 6 more authors
    In Advances in Neural Information Processing Systems, 2023
  3. Lightning UQ Box: Uncertainty Quantification for Neural Networks
    Nils Lehmann, Nina Maria Gottschling, Jakob Gawlikowski, and 3 more authors
    Journal of Machine Learning Research, 2025
  4. Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
    Leonard Waldmann, Ando Shah, Yi Wang, and 6 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2025