Talks

Recent conference video talks

Invited talks

  • Towards Machine learning-driven Environmental Science, GI Forum, University of Münster, 2020
  • Mit maschinellem Lernen zu neuen Möglichkeiten in der Landwirtschaft, 11. Agrarwissenschaftliches Symposium, Hans Eisenmann-Forum für Agrarwissenschaften, 2020
  • Use of Explainable Machine Learning in the Sciences, Extending Explainable AI Beyond Deep Models and Classifiers, ICML Workshop, 2020
  • Deep Learning für Anwendung in den Agrar- und Umweltwissenschaften, Münchner GI-Runde, 2020
  • Deep Learning for the Natural Sciences, University of Uppsala, Uppsala, Sweden, 2019
  • Deep Learning for the Natural Sciences, KTH Royal Institute of Technology, Stockholm, Sweden, 2019
  • Deep Learning for the Natural Sciences, Stockholm University, Stockholm, Sweden, 2019
  • From transparency to explainability: machine learning for the natural sciences, Photogrammetric week, Stuttgart, 2019
  • From transparency to explainability: machine learning for the natural sciences, Karlsruher Institute of Technology, 2019
  • Deep learning for the natural sciences: challenges and opportunities, keynote at German geodetic commission meeting, 2019
  • Machine Learning for Earth Remote Sensing, Bioinformatics Seminar, Christian-Albrechts-Universität zu Kiel, 2019
  • Machine Learning for Earth Remote Sensing (video), Institute for Pure and Applied Mathematics, UCLA, 2018
  • Unsupervised and Self-taught Learning for Remote Sensing Image Analysis, keynote at Workshop on Environmental Informatic Challenges, 2017
  • Sparse Representation-based Analysis of Hyperspectral Remote Sensing Data, International Workshop on Perspectives on High Dimensional Data, 2017
  • Unsupervised learning for remote sensing data, SPLIT Remote Sensing Summer School, 2017
  • Der objektive Blick von oben – Wie der Computer unsere Umwelt sieht, Tag der Geodäsie, 2017
  • Maschinelles Lernen für Anwendungen in der Landwirtschaft, keynote at 23. Computer-Bildanalyse-Workshop, 2017
  • Unsupervised and self-taught learning for remote sensing image interpretation, Group for Research in Decision Analysis (GERAD) Seminar Series, HEC Montreal, 2017
  • Pattern recognition and machine learning for remote sensing, colloquium, Zentrum für Fernerkundung der Landoberfläche (ZFL, Center for Remote Sensing of Land Surfaces), University of Bonn, 2017
  • Unüberwachtes Lernen für die Interpretation von Fernerkundungsbilder, Inaugural lecture, University of Bonn, 2016
  • Discriminative and reconstructive methods for classification of remote sensing images, Microsoft Research Computational Statistics and Machine Learning Seminar Series, University College London, 2015
  • Discriminative and reconstructive methods for classification of remote sensing images, Group for Research in Decision Analysis (GERAD) Seminar Series, HEC Montreal, 2015