Two new papers

Two papers I’ve been working on are out. One tells a story about how you can combine classical and deep learning methods for magnetic resonance imaging in the brain. The other one shows how to use the Neumann eigenvectors of subgraphs for dimension reduction–with nearly isometric embeddings!