Modeling and processing an increasing amount of available data have become key tasks in almost all sciences and require mathematical tools from many different fields. As such, almost all research groups at MPI MiS are concerned with problems related to data science.

The Data Day is meant as a platform for members of the institute to exchange ideas and insights about different aspects of data science within the institute. The program will consist of speakers from all three groups.


09:30 - 10:00 Wilmer Leal (MPI MiS/IZBI, Germany)
10:00 - 10:30 Thomas Merkh (MPI MiS)
Universal approximation bounds for deep stochastic feedforward networks
10:30 - 11:00
11:00 - 11:30 Orlando Marigliano (MPI MiS)
Polynomials in nonparametric inference
11:30 - 12:00 Christian Krumnow (MPI MiS)
12:00 - 13:00
13:00 - 13:30 Marc Josien (MPI MiS, Leipzig, Germany)
Integrodifferential equations for simulating moving dislocations
13:30 - 14:00 Benjamin Fehrman (University of Oxford, Oxford, United Kingdom)
Convergence rates for the stochastic gradient descent method for non-convex objective functions
14:00 - 14:30 Nihat Ay (MPI MiS)
14:30 - 15:00
15:00 - 15:30 Nihat Ay (MPI MiS), Luca Carlini, Christiane Görgen
15:30 - 16:00 Ivan Yamshchikov (MPI MiS)
Information representations for natural language processing
16:00 - 16:30 Alex Lin (MPI MiS)
19:00 - 00:00

Scientific Organizers

Max Pfeffer

Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig

Administrative Contact

Saskia Gutzschebauch

Max-Planck-Institut für Mathematik in den Naturwissenschaften Contact via Mail