2 papers
cs.LG2026
Learning Interpretable PDE Representations for Generative Reconstructions with Structured Sparsity
Valerie Tsao, Nathaniel Chaney, Manolis Veveakis
Scientific measurements are often bottlenecked by suboptimal conditions, whether that be noise, incomplete spatial coverage, or limited resolution, rendering accurate field reconst…
stat.AP2025
Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models
Valerie Tsao, Nathaniel W. Chaney, Manolis Veveakis
The large underlying assumption of climate models today relies on the basis of a "confident" initial condition, a reasonably plausible snapshot of the Earth for which all future pr…