"Large neural networks: Insights from linearized models"
"Local and global Information Bottlenecks in Deep Learning"
"Difficulties in nonlinear dimension reduction: how t-SNE fails to capture global structure and what we can do to improve it."
"Learning over sets, subgraphs, and streams: How to accurately incorporate graph context in network models"
"Phase Transitions and Emergent Phenomena in Algorithms and Applications"