Mathematics of Data

Please note also the lectures in the
Math Machine Learning seminar organized by Guido Montúfar


Winter term 2021/2022





Conferences and Workshops

October 24 - 29, 2021
Geometry & Learning from Data (Online) (21w5239)
Organisers: Pablo Suárez Serrato, Minh Ha Quang, Rongjie Lai, Guido Montúfar
In this workshop we will bring together experts from academia, government stakeholders, applied researchers from industry, as well as graduate students and early career scientist to interact and develop novel solutions that apply abstract tools from high dimensional geometry to contribute to the solution of these problems.

Initiators Nihat Ay (now at Technische Universität Hamburg), 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 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