111 citations · 225 across the 24 of their papers we have counts for
4 papers · 1 filter
A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data
Paul Hand, Babhru Joshi
We introduce a convex approach for mixed linear regression over features. This approach is a second-order cone program, based on L1 minimization, which assigns an estimate regr…
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi, Afshin Abdi, Nam Nguyen +1
We introduce and analyze a new technique for model reduction for deep neural networks. While large networks are theoretically capable of learning arbitrarily complex models, overfi…
Sweep Distortion Removal from THz Images via Blind Demodulation
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez +2
Heavy sweep distortion induced by alignments and inter-reflections of layers of a sample is a major burden in recovering 2D and 3D information in time resolved spectral imaging. Th…
Learning Shapes by Convex Composition
Alireza Aghasi, Justin Romberg
We present a mathematical and algorithmic scheme for learning the principal geometric elements in an image or 3D object. We build on recent work that convexifies the basic problem…