research

research I have contributed to in reversed chronological order. generated by jekyll-scholar.

2025

  1. 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
  2. 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

2023

  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, Jun 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, Jun 2023