Mathematics of Data

Monday, Jul 20th, 2020, 17:00
Franca Hoffmann (California Institute of Technology)
To be announced
only video broadcast

Tuesday, Aug 4th, 2020, 11:00
Marco Mondelli (IST Austria)
Understanding Gradient Descent for Over-parameterized Deep Neural Networks
only video broadcast

Tuesday, Oct 6th, 2020, 11:00
Constantino Tsallis (Centro Brasileiro de Pesquisas Fisicas, Brazil)
Modern statistical mechanics – Approaching complexity in natural, artificial and social sciences
Cancelled due to the Corona pandemic
MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Tuesday, Nov 3rd, 2020, 11:00
Philipp Petersen (Universität Wien)
MPI MIS Leipzig, room E1 05 (Leibniz-Saal)
Please note also the lectures in the
Math Machine Learning seminar organized by Guido Montúfar


Winter term 2020/2021

Conferences and Workshops

September 10 - 11, 2020
GAMM Workshop Computational and Mathematical Methods in Data Science
Organisers: Max von Renesse, André Uschmajew
Videobroadcast, hosted by MPI MIS Leipzig

February 22 - 25, 2021
Conference "Mathematics of Machine Learning"
Organisers: Benjamin Gess, Guido Montúfar, Nihat Ay
Center for Interdisciplinary Research (ZiF), Bielefeld University

Initiators Nihat Ay, Christiane Görgen, Guido Montúfar, André Uschmajew 
Aim Data, in its many forms and across various disciplines, is becoming an essential source for research in the 21st century. In fact, data driven knowledge extraction nowadays constitutes one of the core paradigms for scientific discovery. Therefore, the development of efficient techniques for the integration of large data sets is more necessary than ever. Mathematics offers efficient methodologies from its various well-developed subfields for achieving this goal. Recognising the broad scientific expertise at the Max Planck Institute for Mathematics in the Sciences within the scope of data science, our initiative aims at bundling the corresponding efforts and activities in order to consolidate and advance research on Mathematics of Data.
Participating Groups Information Theory of Cognitive Systems - Nihat Ay

Algebraic Statistics - Christiane Görgen

Quantum Information and High-Energy Physics (Leipzig University) - Stefan Hollands

Geometry and Complex Systems - Jürgen Jost

Deep Learning Theory - Guido Montúfar

Opinion dynamics and cultural Conflict in European Spaces - Eckehard Olbrich

Pattern formation, energy landscapes, and scaling laws - Felix Otto

Structure of Evolution - Matteo Smerlak

Bioinformatics (Leipzig University) - Peter F. Stadler

Nonlinear Algebra - Bernd Sturmfels

Tensors and Optimization - André Uschmajew

Links Mathematics and Computer Science at Leipzig University

ScaDS.AI - Center for Scalable Data Analytics and Artificail Intelligence Leipzig/Dressen

COMinDS - GAMM Activity Group Computational and Mathematical Methods in Data Science