End-to-end learning of energy-based representations for irregularly-sampled signals and images

Ronan Fablet, Lucas Drumetz, François Rousseau

For numerous domains, including for instance earth observation, medical imaging, astrophysics,..., available image and signal datasets often involve irregular space-time sampling p…