Plenary speakers

• Marco Cuturi (Google Brain & Institut Polytechnique de Paris)
  Talk: Supervised Quantile Normalization for Matrix Factorization using Optimal Transport
   abstract 
• Gitta Kutyniok (TU Berlin)
  Talk: The Mathematics of Deep Learning: Can we Open the Black Box of Deep Neural Networks?
   abstract 
• Ivan Oseledets (Skoltech Moscow)
  Talk: Robustness of deep neural network models
• Joel Tropp (California Institute of Technology)
  Talk: SketchySVD
   abstract 

Invited speakers

• Martin Bogdan (Leipzig University)
• Axel Klawonn (University of Cologne)
  Talk: Machine learning in adaptive domain decomposition methods
   abstract 
• Kathlén Kohn (KTH Stockholm)
  Talk: Invariant theory and scaling algorithms for maximum likelihood estimation
   abstract 
• Daniel Kressner (EPF Lausanne)
  Talk: Randomized trace estimates for indefinite matrices with an application to determinants
   abstract 
• Guido Montúfar (Max Planck Institute for Mathematics in the Sciences)
  Talk: Computing the Unique Information
   abstract 
• Ekaterina Muravleva (Skoltech Moscow)
  Talk: Generative adversarial networks and their application to microstructure synthesis
• Christoph Schnörr (Heidelberg University)
  Talk: Assignment Flows for Data Labeling and Pattern Formation on Graphs
   abstract 
• Ingo Steinwart (University of Stuttgart)
  Talk: Density-Based Cluster Analysis
   abstract