Mathematics of Data
Seminar

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)
tba
MPI MIS Leipzig, room E1 05 (Leibniz-Saal)
Please note also the lectures in the
Math Machine Learning seminar organized by Guido Montúfar

Courses

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 Participating group members of the Mathematics of Data Initiative are involved in various activities related to Data science, at the MPI MiS and also at other institutions. Here is a list of links to corresponding involvements:

COVID-19 Data Analysis
The Mathematics Behind the Corona News Coverage
ScaDS.AI - Center for Scalable Data Analytics and Artificail Intelligence Leipzig/Dressen
COMinDS - GAMM Activity Group Computational and Mathematical Methods in Data Science
Mathematics and Computer Science at Leipzig University
Santa Fe Institute
Data Theory Major at UCLA Math / Stats
Data X Initiative at UCLA
The SIAM Data Mining and Analytics Activity Group
 


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