I am a PhD student in applied mathematics at the TU Eindhoven under the supervision of dr.ir. R. Duits. I have a keen interest in both abstract mathematics and new techniques in the field of machine learning.
In my research I try to bridge neural networks with classic mathematical ideas from geometry and analysis, such as in the PDE-based G-CNN paper. Implementations of techniques I have developed are available as an open source extension to the popular PyTorch deep learning framework, named LieTorch.
MSc in Applied Mathematics, 2019
TU Eindhoven
BSc in Applied Mathematics, 2017
TU Eindhoven
We present a PDE-based framework that generalizes Group equivariant Convolutional Neural Networks (G-CNNs). In this framework, a …
Two key ideas have greatly improved techniques for image enhancement and denoising: the lifting of image data to multi-orientation …
Convolutional neural networks have found wide adoption and great success in image processing yet have drawbacks such as needing huge …