2025
Geometric Invariants on Position-Orientation Space with Application in Equivariant Machine Learning
We present an overview of the use of geometric invariants in designing Euclidean-invariant neural networks for predicting scalar …
Geometric Learning with Lie Groups and PDEs
We present an overview of geometric learning in the context of Lie groups with the aid of PDEs.
2024
An Introduction to Transformers
I present an overview of the ’transformer’ neural network architecture and how it interacts with text and image modalities.
2019
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 …
