Publications (37)
Sparse Recovery of Streaming Signals Using L1-Homotopy
M. Salman Asif, Justin Romberg
Convergence Speed of a Dynamical System for Sparse Recovery
Aurèle Balavoine, Christopher J. Rozell, Justin Romberg
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi, Afshin Abdi, Nam Nguyen +1
Sweep Distortion Removal from THz Images via Blind Demodulation
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez +2
A Hardware Realization of Superresolution Combining Random Coding and Blurring
Kevin Beale, Jianbo Chen, Kevin F. Kelly +1
Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements
Sohail Bahmani, Justin Romberg
Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization
M. Salman Asif, Justin Romberg
Learning Shapes by Convex Composition
Alireza Aghasi, Justin Romberg
A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection
Anvesha A, Shaojie Xu, Ningyuan Cao +2
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Trading beams for bandwidth: Imaging with randomized beamforming
Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
Compressed Subspace Matching on the Continuum
William Mantzel, Justin Romberg
Compressive Multiplexing of Correlated Signals
Ali Ahmed, Justin Romberg
Compressive Sampling of Ensembles of Correlated Signals
Ali Ahmed, Justin Romberg
Sparsity and Incoherence in Compressive Sampling
Emmanuel Candes, Justin Romberg
Appearance-based Gesture recognition in the compressed domain
Shaojie Xu, Anvesha Amaravati, Justin Romberg +1
Solving Equations of Random Convex Functions via Anchored Regression
Sohail Bahmani, Justin Romberg
Empirical Chaos Processes and Blind Deconvolution
Ali Ahmed, Felix Krahmer, Justin Romberg
ROAST: Rapid Orthogonal Approximate Slepian Transform
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin +2
Blind Deconvolution using Convex Programming
Ali Ahmed, Benjamin Recht, Justin Romberg
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators
Zhihui Zhu, Santhosh Karnik, Mark A. Davenport +2
Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions
Emmanuel Candes, Justin Romberg
Convex Cardinal Shape Composition
Alireza Aghasi, Justin Romberg
Compressive Matched-Field Processing
William Mantzel, Justin Romberg, Karim Sabra
Fast Convex Pruning of Deep Neural Networks
Alireza Aghasi, Afshin Abdi, Justin Romberg
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail Bahmani, Justin Romberg
Restricted Isometries for Partial Random Circulant Matrices
Holger Rauhut, Justin Romberg, Joel A. Tropp
Dynamic Updating for L1 Minimization
Muhammad Salman Asif, Justin Romberg
Fast Convergence Rates of Distributed Subgradient Methods with Adaptive Quantization
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
An overview of low-rank matrix recovery from incomplete observations
Mark A. Davenport, Justin Romberg
Distributed Stochastic Approximation for Solving Network Optimization Problems Under Random Quantization
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
Convergence and Rate Analysis of Neural Networks for Sparse Approximation
Aurèle Balavoine, Justin Romberg, Christopher J. Rozell
Sparse Shape Reconstruction
Alireza Aghasi, Justin Romberg
Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness
Kiryung Lee, Felix Krahmer, Justin Romberg
Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs
Sohail Bahmani, Justin Romberg, Prasad Tetali
Channel Protection: Random Coding Meets Sparse Channels
M. Salman Asif, William Mantzel, Justin Romberg
Matched Filtering from Limited Frequency Samples
Armin Eftekhari, Justin Romberg, Michael B. Wakin