2 citations · 2 across the 2 of their papers we have counts for
3 papers
Neural Networks, Hypersurfaces, and Radon Transforms
Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
Connections between integration along hypersufaces, Radon transforms, and neural networks are exploited to highlight an integral geometric mathematical interpretation of neural net…
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algori…
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry
Shinjini Kundu, Soheil Kolouri, Kirk I Erickson +3
Disease in the brain is often associated with subtle, spatially diffuse, or complex tissue changes that may lie beneath the level of gross visual inspection, even on magnetic reson…