Seminar

Thursday, May 14th, 2020, 11:00*Lior Pachter* (California Institute of Technology)**tba**

Attention: this talk has to be cancelled

MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Monday, Jul 20th, 2020, 11:00*Franca Hoffmann* (California Institute of Technology)**To be announced**

MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Tuesday, Aug 4th, 2020, 11:00

*Marco Mondelli* (IST Austria)

**To be announced**

MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

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**

MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Tuesday, Oct 6th, 2020, 11:00

MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Courses

**Winter term 2019/2020**

*Eliana Maria Duarte Gelvez: *
**Seven Lectures in Algebraic Statistics**

MPI MIS Leipzig, room G3 10, Monday 13:00

**Summer term 2020**

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

Workshops

March 30 - April 03, 2020

**Spring School of Mathematical Statistics**

Organiser: *Carlos Améndola, Eliana Duarte Gelvez, Orlando Marigliano*

**We are sorry to inform you that the Spring School is canceled because of the Covid-19.**

September 10 - 11, 2020

**GAMM Workshop Computational and Mathematical Methods in Data Science**

Organiser: *Max von Renesse, André Uschmajew*

MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

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 SystemsNihat AyAlgebraic Statistics Christiane GörgenGeometry and Complex Systems Jürgen JostDeep Learning Theory Guido MontúfarOpinion dynamics and cultural Conflict in European Spaces Eckehard OlbrichStructure of Evolution Matteo SmerlakBioinformatics (Leipzig University) Peter F. StadlerNonlinear Algebra Bernd SturmfelsTensors and Optimization André Uschmajew |