3 papers
cs.LG2025
Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
Jennifer Zvonek, Andrew Gillette
An implicit neural representation (INR) is a neural network that approximates a spatiotemporal function. Many memory-intensive visualization tasks, including modern 4D CT scanning…
cs.LG2025
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning
Tyler Chang, Andrew Gillette, Romit Maulik
Effective verification and validation techniques for modern scientific machine learning workflows are challenging to devise. Statistical methods are abundant and easily deployed, b…
math.NA2024
The Delaunay Density Diagnostic
Andrew Gillette, Eugene Kur
Accurate approximation of a real-valued function depends on two aspects of the available data: the density of inputs within the domain of interest and the variation of the outputs…