Search Results for author:
Found 2 papers, 0 papers with code
Discovering interpretable models of scientific image data with deep learning
How can we find interpretable, domain-appropriate models of natural phenomena given some complex, raw data such as images?
Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data
In this work we present affinity-VAE: a framework for automatic clustering and classification of objects in multidimensional image data based on their similarity.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
