Seminar

Friday, Mar 19th, 2021, 16:00*Stefanie Jegelka* (Machine Learning Group at MIT, USA)**Representation and Learning in Graph Neural Networks**

only video broadcast

Please note also the lectures in the

Math Machine Learning seminar organized by Guido Montúfar

Courses

**Winter term 2020/2021**

*Nihat Ay:***Kernel Methods in Learning Theory**(Course, video broadcast)*Nihat Ay:***Recent Developments Towards a New Theory of Generalisation**(Seminar, video broadcast)

(The seminar has been prepared in collaboration with Juan Pablo Vigneaux.)

Conferences and Workshops

**August 04 - 07, 2021 (previously planned for February 22 - 25, 2020)**

**Conference "Mathematics of Machine Learning"**

Organisers: *Benjamin Gess, Guido MontÃºfar, 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 AyAlgebraic Statistics - Christiane GörgenQuantum Information and High-Energy Physics (Leipzig University) - Stefan HollandsGeometry and Complex Systems - Jürgen JostDeep Learning Theory - Guido MontúfarOpinion dynamics and cultural Conflict in European Spaces - Eckehard OlbrichPattern formation, energy landscapes, and scaling laws - Felix OttoStructure of Evolution - Matteo SmerlakBioinformatics (Leipzig University) - Peter F. StadlerNonlinear Algebra - Bernd SturmfelsTensors 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 |