3 papers
cs.LG2026
Topology-Aware Active Learning on Graphs
Harris Hardiman-Mostow, Jack Mauro, Adrien Weihs +1
We propose a graph-topological approach to active learning that directly targets the core challenge of exploration versus exploitation under scarce label budgets. To guide explorat…
cs.LG2025
GLL: A Differentiable Graph Learning Layer for Neural Networks
Jason Brown, Bohan Chen, Harris Hardiman-Mostow +2
Standard deep learning architectures used for classification generate label predictions with a projection head and softmax activation function. Although successful, these methods f…
cs.CV2025
Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product
Harris Hardiman-Mostow, Charles Marshak, Alexander L. Handwerger
Mapping land surface disturbances supports disaster response, resource and ecosystem management, and climate adaptation efforts. Synthetic aperture radar (SAR) is an invaluable too…