Bart M.N. Smets

Applied Mathematician

Eindhoven University of Technology


I am a PhD student in applied mathematics at the TU Eindhoven under the supervision of dr.ir. R. Duits. I am currently working on mathematical models related to geometric machine learning.


  • Differential Geometry
  • Mathematical Image Analysis
  • Probability Theory
  • Machine Learning
  • Applied Analysis
  • Motorsport
  • History


  • MSc in Applied Mathematics, 2019

    TU Eindhoven

  • BSc in Applied Mathematics, 2017

    TU Eindhoven

Recent & Upcoming Talks

PDE-based CNNs with Morphological Convolutions

Convolutional neural networks have found wide adoption and great success in image processing yet have drawbacks such as needing huge …

Recent Publications

PDE-based Group Equivariant Convolutional Neural Networks

We present a PDE-based framework that generalizes Group equivariant Convolutional Neural Networks (G-CNNs). In this framework, a …

Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations (JMIV)

Two key ideas have greatly improved techniques for image enhancement and denoising: the lifting of image data to multi-orientation …

Total Variation and Mean Curvature PDEs on $\mathbb{R}^d \rtimes S^{d−1}$ (SSVM)

Total variation regularization and total variation flows (TVF) have been widely applied for image enhancement and denoising. To include …