In tasks like node classification, image segmentation, and named-entity
...
Randomized smoothing is one of the most promising frameworks for certify...
Deep learning models are known to put the privacy of their training data...
Building models that comply with the invariances inherent to different
d...
Models for image segmentation, node classification and many other tasks ...
End-to-end (geometric) deep learning has seen first successes in
approxi...
Evolution and learning are two of the fundamental mechanisms by which li...