Talks

  • Blind Source Separation for Non-stationary Random Fields (Data Science, Statistics & Visualisation, DSSV 2021)
  • Blind Source Separation for Non-stationary Random Fields (The 13th Workshop on Spatial Statistics and Image Analysis in Biology, SSIAB13, 2021)
  • Local Difference Matrices for Spatial Blind Source Separation (CAJG 2020)
  • Spatial Supervised Dimension Reduction in a Blind Source Separation framework (Machine Learning Seminar, University Paul Sabatier, Toulouse, France)
  • Supervised dimension reduction for spatial data (CMStatistics 2019)
  • Supervised dimension reduction for spatial data (Statistiktage 2019 der chen Statistischen Gesellschaft)
  • Pulse-Shape discrimination with deep learning in CRESST (CRESST Collaboration Meeting November 2018)
  • Pulse-Shape discrimination with deep learning in CRESST (Colloquium on Machine Learning in Particle Physics, ESA Munich, 2018)
  • Pulse-Shape discrimination with deep learning in CRESST (CRESST Collaboration Meeting June 2018)