Talks

• Second Order Source Separation for Multivariate Space-Time Data (COMPSTAT 2022)

• Second Order Source Separation for Multivariate Space-Time Data (CMStatistics 2022), invited

• 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 Österreichischen 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)