3 papers
cs.LG2026
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
Alex Saad-Falcon, Brighton Ancelin, Justin Romberg
Principal component analysis classically requires full -dimensional samples, yet in various applications hardware limits acquisition to a few scalar measurements per sample. We…
eess.IV2025
MANGO: Learning Disentangled Image Transformation Manifolds with Grouped Operators
Brighton Ancelin, Yenho Chen, Peimeng Guan +4
Learning semantically meaningful image transformations (i.e. rotation, thickness, blur) directly from examples can be a challenging task. Recently, the Manifold Autoencoder (MAE) p…
math.NA2024
Rapid Grassmannian Averaging with Chebyshev Polynomials
Brighton Ancelin, Alex Saad-Falcon, Kason Ancelin +1
We propose new algorithms to efficiently average a collection of points on a Grassmannian manifold in both the centralized and decentralized settings. Grassmannian points are used…