- 🌍 Zurich, Switzerland
- ✉️ admirselimovic@gmail.com
Geometric Cell Complex Neural Networks is a model designed for representation learning on cell complexes. The architecture maintains
An experiment in learning the magnitude and direction of compression forces in complex 3D structures. Utilising a dataset of 30,000 cell complexes, the model captures intricate interactions between 0-cells and 1-cells to predict resultant force vectors.
A Computer Vision application in exsiccatum image segmentation and background removal.