2 papers
stat.ML2023
Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems
Pelin Ersin, Emma Hayes, Peter Matthews +3
Neural networks have become a powerful tool as surrogate models to provide numerical solutions for scientific problems with increased computational efficiency. This efficiency can…
cs.CV2023
A Geometric Flow Approach for Segmentation of Images with Inhomongeneous Intensity and Missing Boundaries
Paramjyoti Mohapatra, Richard Lartey, Weihong Guo +2
Image segmentation is a complex mathematical problem, especially for images that contain intensity inhomogeneity and tightly packed objects with missing boundaries in between. For…