Vorträge

Vorträge auf Konferenzen

• High-Dimensional Approximation: ANOVA Decomposition Meets Wavelets and Random Fourier Features
  22.04.2025, Workshop Rising Stars in Computational and Data Sciences, Austin.

• Random Fourier Features and ANOVA Decomposition for Efficient High-Dimensional Approximation
  10.04.2025, Approximation Theory and Fast Algorithms, Hasenwinkel.

• Random Fourier Features for Effcient High-Dimensional Approximation
  13.03.2025, Workshop on Mathematical Signal and Image Analysis, Burghausen.

• High-Dimensional Approximation Using ANOVA-Boosting
  12.09.2024, Sparse Grids and Applications Seminar 2024, Bonn.

• ANOVA-boosting for high-dimensional approximation
  23.08.2024, Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Waterloo.

• Die Summe der positiven ganzen Zahlen
  25.02.2024, Festvortrag zur Siegerehrung 63. Mathematikolympiade, 3. Stufe

• High-dimensional Approximation: Transforming periodic Approximation vs. Random Fourier Features
  01.09.2023, Algorithms and Complexity for Continuous Problems, Dagstuhl-Seminar 23351. pdf

• Die Geometrie hinter dem Basler Problem
  09.11.2022, Festvortrag zur Siegerehrung 61. Mathematikolympiade, 2. Stufe

• Transforming approximation algorithms from the d-torus to other domains
  13.10.2022, Approximation and geometry in high dimensions, Bedlewo.

• Using transformations to generalize approximation operators for periodic functions
  15.09.2022, 8th International Conference on Computational Harmonic Analysis, Ingolstadt.

• Object weights can be predicted from movement kinematics in a replacement task (with Lena Kopnarski)
  08.09.2022, Sportmotorik 2022 - Modularität in der motorischen Kontrolle, Karlsruhe.

• High-dimensional hyperbolic wavelet regression using low-dimensional structures
  21.06.2022, Curves and Surfaces, Arcachon.

• Hyperbolic Wavelet Regression of periodic high-dimensional functions
  14.09.2021, Online International Conference on Computational Harmonic Analysis, online. pdf

• Merging Hyperbolic Wavelet Regression and ANOVA
  02.09.2021, Seminar Analysis und Theoretische Numerik, Siegmundsburg. pdf

Poster

• Interpretable Function Approximation Using Random Fourier Features and ANOVA-Boosting
  Laura Weidensager, Daniel Potts
  25.10.2024, SIAM Conference on Mathematics of Data Science, Atlanta.

• The Generalized ANOVA Decomposition in the Random Fourier Feature Setting
  Laura Weidensager, Daniel Potts
  11.06.2023, More on Harmonic Analysis, Strobl.

• The Generalized ANOVA Decomposition in the Random Fourier Feature Setting
  Laura Weidensager, Daniel Potts
  07.06.2023, Woman in Data Science, Chemnitz.

• Preliminary work on the determination of mechanical power during running based on kinetic data
  Dominik Krumm, Laura Lippert, Stephan Odenwald, Daniel Potts
  26.07.2023, 16th Biennial Footwear Biomechanics Symposium, Osaka. doi

• Object weights can be predicted from movement kinematics in a replacement task
  Lena Kopnarski, Laura Lippert, Julian Rudisch, Claudia Voelcker-Rehage
  05.05.2023, Woman in Data Science, Chemnitz. pdf

Seminarvorträge

• Efficient High-Dimensional Approximation: ANOVA Decomposition Meets Wavelets and Random Fourier Features
  05.02.2025, Seminar Analysis, TU Bergakademie Freiberg.

• Efficient High-Dimensional Approximation: ANOVA Decomposition Meets Wavelets and Random Fourier Features
  21.01.2025, Kolloquium am Institut für Numerische und Angewandte Mathematik, Universität Göttingen.

• Transformations of functions and weighted function spaces
  03.05.2022, Seminar Analysis, TU Chemnitz.

• Merging Hyperbolic Wavelet Regression and ANOVA
  26.11.2021, Seminar Analysis, TU Bergakademie Freiberg.

Sonstiges

• Schülerförderung Mathematik Klasse 9/10
  seit 2019

• CIME Summer School on High-Dimensional Approximation
  23.09. - 27.09.2024, Cetraro.

• Research Stay: Oden Institute (Research Group of Prof. Rachel Ward)
  01.2023 - 03.2023, Austin.

• Research School: High-Dimensional Approximation and Deep Learning
  16.05. - 20.05.2022, Nantes.