Applied Mathematics Seminar

Each semester we have our weekly seminar. Talks are given by members of our math department, reporting on their recent research, and guests of our research groups.

Everybody is welcome to join!

For further information please contact Johannes Maly via johannes(dot)maly(at)ku(dot)de.



Program Winter term 2021/2022

Due to the current situation, the talks in the summer term will be held via Zoom.

  • 19.10.2021: Get-together
  • 26.10.2021: Hidde Schönberger, "Fractional Integrals and Supremals: Characterization of Lower Semicontinuity and Relaxation"
  • 02.11.2021: Andrei Caragea, "Hierarchical exponential Riesz bases"
  • 09.11.2021: Valerio Pagliari, "A homogenization problem inspired by high-contrast materials"
  • 16.11.2021: Johannes Krebs, "Statistical topological data analysis"
  • 23.11.2021: Jona Lelmi, "Large data limit for the MBO scheme for data clustering: Gamma-convergence of the thresholding energies"
  • 25.11.2021: Dominik Stöger, "Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction" + Felix Voigtländer, "The universal approximation theorem for complex-valued neural networks" (Joint KU-LMU-TUM seminar)
  • 07.12.2021: Ekkehard Schnoor, "Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks"
  • 14.12.2021: Christmas celebration of KU -> Cancelled...
  • 11.01.2022: Martin Genzel, TBA
  • 18.01.2022: Konstantin Riedl, TBA
  • 20.01.2022: TBA (Joint KU-LMU-TUM seminar)
  • 25.01.2022: Frank Filbir, TBA
  • 01.02.2022: Hans-Christian Jung, TBA
  • 17.02.2022: TBA (Joint KU-LMU-TUM seminar)

Program Summer term 2021

Due to the current situation, the talks in the summer term will be held via Zoom.

  • 20.04.2021: Organizational meeting
  • 22.04.2021: Dae Gwan Lee, "A quantitative approximation result for complex-valued neural networks and applications" + Johannes Maly, "Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank" (joint KU-LMU-TUM seminar)
  • 04.05.2021: Dominik Stöger, "Understanding overparameterization in low-rank matrix recovery and generative adversarial networks"
  • 11.05.2021: Hung-Hsu Chou, "Overparameterization and generalization error: weighted trigonometric interpolation"
  • 18.05.2021: Dominik Engl, "Theories for incompressible strings and rods: a rigorous derivation via Γ-convergence"
  • 01.06.2021: Ursula Molter, "Tiles, Multi-tiles, Riesz bases of exponentials and the Bohr topology"
  • 15.06.2021: Claudio Verdun, "How to impute data and complete matrices if you must"
  • 22.06.2021: Gabin Maxime Nguegnang, "Convergence of Gradient Descent in Learning Deep Linear Networks"
  • 29.06.2021: Antonella Ritorto, "Asymptotic analysis of rigidity constraints modeling fiber-reinforced composite"
  • 13.07.2021: Carolin Kreisbeck, "Nonlocal variational problems: Structure-preservation during relaxation?"
  • 20.07.2021: Patrik Hammer, "Universal approximation results in the theory of neural networks"

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, "Stable Recovery of Entangled Weights: Towards Robust
    Identification of Deep Neural Networks"

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