1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
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…
Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals
Daqian Bao, Alex Saad-Falcon, Justin Romberg
Data acquisition in array signal processing (ASP) is costly because achieving high angular and range resolutions necessitates large antenna apertures and wide frequency bandwidths,…
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…
Subspace Tracking with Dynamical Models on the Grassmannian
Alex Saad-Falcon, Brighton Ancelin, Justin Romberg
Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize…
Level set methods for gradient-free optimization of metasurface arrays
Alex Saad-Falcon, Christopher Howard, Justin Romberg +1
Global optimization techniques are increasingly preferred over human-driven methods in the design of electromagnetic structures such as metasurfaces, and careful construction and p…