MPI für Mathematik in den Naturwissenschaften Leipzig
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10.09.20 11.09.20

GAMM AG Workshop Computational and Mathematical Methods in Data Science

The COMinDS 2020 Workshop is the annual workshop of the GAMM Activity Group on Computational and Mathematical Methods in Data Science (COMinDS). The goal is to bring together mathematicians and other scientists working on (or interested in) mathematical models and computational methods in data science and its applications. The workshop features four plenary lectures as well as regular invited lectures showing the full breadth of the research field.

The workshop will be held online. Registration is now closed.

The number of participants will be limited, with preference given to activity group members.


Marco Cuturi

Google Brain & Institut Polytechnique de Paris

Gitta Kutyniok

TU Berlin

Ivan Oseledets

Skoltech Moscow

Joel Tropp

California Institute of Technology


09:30 - 10:15 Marco Cuturi (Google Brain & Institut Polytechnique de Paris)
Supervised Quantile Normalization for Matrix Factorization using Optimal Transport
10:15 - 10:45
10:45 - 11:15 Kathlén Kohn (KTH Stockholm)
Invariant theory and scaling algorithms for maximum likelihood estimation
11:15 - 11:45 Axel Klawonn (University of Cologne)
Machine learning in adaptive domain decomposition methods
11:45 - 12:15 Guido Montúfar (Max Planck Institute for Mathematics in the Sciences)
Computing the Unique Information
12:15 - 14:00
14:00 - 14:45 Ivan Oseledets (Skoltech Moscow)
14:45 - 15:15
15:15 - 15:45 Ekaterina Muravleva (Skoltech Moscow)
15:45 - 16:15 Daniel Kressner (EPF Lausanne)
Randomized trace estimates for indefinite matrices with an application to determinants
16:15 - 17:30
17:30 - 18:15 Joel Tropp (California Institute of Technology)
09:30 - 10:15 Gitta Kutyniok (TU Berlin)
The Mathematics of Deep Learning: Can we Open the Black Box of Deep Neural Networks?
10:15 - 10:45
10:45 - 11:15 Ingo Steinwart (University of Stuttgart)
Density-Based Cluster Analysis
11:15 - 11:45 Christoph Schnörr (Heidelberg University)
Assignment Flows for Data Labeling and Pattern Formation on Graphs

Scientific Organizers

Max von Renesse

Leipzig University

André Uschmajew

Max Planck Institute for Mathematics in the Sciences

Administrative Contact

Valeria Hünniger

Max Planck Institute for Mathematics in the Sciences Contact via Mail