Adaptive test-time defenses are used to improve the robustness of deep n...
Lecture notes from the course given by Professor Julia Kempe at the summ...
Understanding the properties of well-generalizing minima is at the heart...
The central question in representation learning is what constitutes a go...
The fundamental principle of Graph Neural Networks (GNNs) is to exploit ...
Graph Convolutional Networks (GCNs) have emerged as powerful tools for
l...
Network-valued data are encountered in a wide range of applications and ...