Applied Mathematics Seminar

Each semester we have our weekly seminar. Talks are given by Bachelor students who present their thesis topic or people from our local math department, reporting on their newest research. Occasionally, we also have guests of Prof. Pfander giving a talk. Everybody who is interested is warmly welcome.

 

 

Program Winter term 2020/2021

  • 10.11.2020: Johannes Maly, "Gradient Descent for Deep Matrix Factorizations"
  • 08.12.2020: Sjoerd Dirksen, "Covariance estimation under one-bit quantization"
  • 22.12.2020: Javier Cueto, "Vector Variational Problems based on Fractional and Nonlocal Gradients. Applications to Solid Mechanics"
  • 12.01.2021: Dmitry Yarotsky, "Approximations with deep neural networks"
  • 26.01.2021: Timo Klock, "Deep neural networks adapt to intrinsic dimensionality beyond the data domain"
  • 02.02.2021: Diyora Salimova, "Space-time deep neural network approximations for high-dimensional PDEs"
  • 16.02.2021: Michael Rauchensteiner, TBA

Program Summer term 2020

  • 09.04.2020: Dr. Michael Speckbacher
  • 07.05.2020: Dr. Wolfgang Erb (KU Eichstätt-Ingolstadt), Anisotropic N-term approximation with Gaussians
  • 26.05.2020: Prof. Radu Balan (University of Maryland, USA), Permutation invariant representations and graph deep learning - Part 1
  • 01.06.2020: Public Holiday
  • 08.06.2020: Prof. Marcin Bownik (University of Oregon, USA), Exponential frames and syndetic Riesz sequences, 6:00 pm (Time in Germany)
  • 15.06.2020: Prof. Radu Balan (University of Maryland, USA), Permutation invariant representations and graph deep learning - Part 2
  • 22.06.2020: Prof. Philippe Jaming (Université de Bordeaux, France), Mobile and diffusive sampling
  • 06.07.2020: Prof. Shahaf Nitzan (Georgia Institute of Technology, USA), Uncertainty Principles for Fourier Multipliers
  • 20.07.2020: Franziska Schlamp (KU Eichstätt-Ingolstadt), Presentation about internship at Airbus

Program Winter term 2019/2020

Program Summer term 2019

Program Winter term 2018/2019

Program Summer term 2018

Program Winter term 2017/2018