Justin K. Romberg

Orcid: 0000-0002-6616-197X

Affiliations:
  • Georgia Institute of Technology, Atlanta, School of Electrical and Computer Engineering


According to our database1, Justin K. Romberg authored at least 176 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to compressive sensing".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games With Demand Response Aggregators.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024

A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning.
SIAM J. Optim., March, 2024

Globally Optimal Assignment Algorithm for Collective Object Transport Using Air-Ground Multirobot Teams.
IEEE Trans. Control. Syst. Technol., January, 2024

Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals.
CoRR, 2024

Rapid Grassmannian Averaging with Chebyshev Polynomials.
CoRR, 2024

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks.
CoRR, 2024

Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning.
CoRR, 2024

BeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding.
Proceedings of the IEEE Radio and Wireless Symposium, 2024

Subspace Tracking with Dynamical Models on the Grassmannian.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Confidence-Based Curriculum Learning for Multi-Agent Path Finding.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm.
IEEE Trans. Autom. Control., June, 2023

Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning.
IEEE Trans. Autom. Control., May, 2023

Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer.
IEEE Trans. Inf. Theory, March, 2023

Iterative Broadband Source Localization.
IEEE J. Sel. Areas Inf. Theory, 2023

Scalable Online Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators.
CoRR, 2023

Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

2022
Streaming Solutions for Time-Varying Optimization Problems.
IEEE Trans. Signal Process., 2022

Thomson's Multitaper Method Revisited.
IEEE Trans. Inf. Theory, 2022

Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver.
CoRR, 2022

A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation.
CoRR, 2022

Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Dual Accelerated Method for a Class of Distributed Optimization Problems: From Consensus to Decentralized Policy Evaluation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Passivity-Based Distributed Control for Cooperative Unknown Payload Manipulation with Sensing/Actuation Delays.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Distributed Optimal Assignment Algorithm for Collective Foraging.
Proceedings of the American Control Conference, 2022

2021
A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach.
IEEE Trans. Autom. Control., 2021

Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization.
IEEE Trans. Autom. Control., 2021

Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation.
SIAM J. Math. Data Sci., 2021

A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network.
IEEE J. Solid State Circuits, 2021

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
J. Am. Medical Informatics Assoc., 2021

Decentralized Feature-Distributed Optimization for Generalized Linear Models.
CoRR, 2021

A decentralized policy gradient approach to multi-task reinforcement learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Online Adaptive Learning in Energy Trading Stackelberg Games with Time-Coupling Constraints.
Proceedings of the 2021 American Control Conference, 2021

2020
Compressive Sampling of Ensembles of Correlated Signals.
IEEE Trans. Inf. Theory, 2020

In-Field Performance Optimization for mm-Wave Mixed-Signal Doherty Power Amplifiers: A Bandit Approach.
IEEE Trans. Circuits Syst., 2020

Fast Convex Pruning of Deep Neural Networks.
SIAM J. Math. Data Sci., 2020

Trading Beams for Bandwidth: Imaging with Randomized Beamforming.
SIAM J. Imaging Sci., 2020

OPTIMO: A 65-nm 279-GOPS/W 16-b Programmable Spatial-Array Processor with On-Chip Network for Solving Distributed Optimizations via the Alternating Direction Method of Multipliers.
IEEE J. Solid State Circuits, 2020

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.
CoRR, 2020

Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness.
CoRR, 2020

Localized sketching for matrix multiplication and ridge regression.
CoRR, 2020

Sample complexity and effective dimension for regression on manifolds.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

Distributed Force/Position Optimization Dynamics for Cooperative Unknown Payload Manipulation.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Primal-Dual Gradient Dynamics for Cooperative Unknown Payload Manipulation without Communication.
Proceedings of the 2020 American Control Conference, 2020

Sample complexity bounds for localized sketching.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
A Hardware Realization of Superresolution Combining Random Coding and Blurring.
IEEE Trans. Computational Imaging, 2019

Solving Equations of Random Convex Functions via Anchored Regression.
Found. Comput. Math., 2019

Phase Retrieval of Low-Rank Matrices by Anchored Regression.
CoRR, 2019

A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors.
CoRR, 2019

Convex Programming for Estimation in Nonlinear Recurrent Models.
CoRR, 2019

Decentralized sketching of low rank matrices.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables.
Proceedings of the IEEE International Conference on Acoustics, 2019

Efficient Signal Reconstruction via Distributed Least Square Optimization on a Systolic FPGA Architecture.
Proceedings of the IEEE International Conference on Acoustics, 2019

Optimo: A 65Nm 270Mhz 143.2Mw Programmable Spatial-Array-Processor With A Hierarchical Multi-Cast On-Chip Network For Solving Distributed Optimizations.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2019

Second-Order Filtering Algorithm for Streaming Optimization Problems.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Linear Two-Time-Scale Stochastic Approximation A Finite-Time Analysis.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
ROAST: Rapid Orthogonal Approximate Slepian Transform.
IEEE Trans. Signal Process., 2018

Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs.
IEEE Trans. Netw. Sci. Eng., 2018

Fast and Guaranteed Blind Multichannel Deconvolution Under a Bilinear System Model.
IEEE Trans. Inf. Theory, 2018

Extracting the Principal Shape Components via Convex Programming.
IEEE Trans. Image Process., 2018

A Light-Powered Smart Camera With Compressed Domain Gesture Detection.
IEEE Trans. Circuits Syst. Video Technol., 2018

A 130 nm 165 nJ/frame Compressed-Domain Smashed-Filter-Based Mixed-Signal Classifier for "In-Sensor" Analytics in Smart Cameras.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators.
IEEE Signal Process. Lett., 2018

Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness.
SIAM J. Imaging Sci., 2018

A FeFET Based Processing-In-Memory Architecture for Solving Distributed Least-Square Optimizations.
Proceedings of the 76th Device Research Conference, 2018

Localized random projections with applications to coherent array imaging.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

On the Convergence of Distributed Subgradient Methods under Quantization.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness.
CoRR, 2017

Anchored Regression: Solving Random Convex Equations via Convex Programming.
CoRR, 2017

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Performance guarantees of spectral methods for passive sensing of multiple channels.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Fast orthogonal approximations of sampled sinusoids and bandlimited signals.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Appearance-based gesture recognition in the compressed domain.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sampling and reconstruction in the 21st century.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A 65nm compressive-sensing time-based ADC with embedded classification and INL-aware training for arrhythmia detection.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Introduction to the Issue on Structured Matrices in Signal and Data Processing.
IEEE J. Sel. Top. Signal Process., 2016

An Overview of Low-Rank Matrix Recovery From Incomplete Observations.
IEEE J. Sel. Top. Signal Process., 2016

Object Learning and Convex Cardinal Shape Composition.
CoRR, 2016

Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks.
CoRR, 2016

Sweep Distortion Removal from THz Images via Blind Demodulation.
CoRR, 2016

A Light-powered, "Always-On", Smart Camera with Compressed Domain Gesture Detection.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

Fast computations for approximation and compression in Slepian spaces.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Discrete and Continuous-Time Soft-Thresholding for Dynamic Signal Recovery.
IEEE Trans. Signal Process., 2015

Compressive Multiplexing of Correlated Signals.
IEEE Trans. Inf. Theory, 2015

Compressive Deconvolution in Random Mask Imaging.
IEEE Trans. Computational Imaging, 2015

Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation.
SIAM J. Imaging Sci., 2015

Convex Cardinal Shape Composition.
SIAM J. Imaging Sci., 2015

Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements.
CoRR, 2015

Efficient Compressive Phase Retrieval with Constrained Sensing Vectors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sketching for simultaneously sparse and low-rank covariance matrices.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Convex cardinal shape composition and object recognition in computer vision.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Superfast Tikhonov Regularization of Toeplitz Systems.
IEEE Trans. Signal Process., 2014

Sparse Recovery of Streaming Signals Using ℓ<sub>1</sub>-Homotopy.
IEEE Trans. Signal Process., 2014

Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation".
IEEE Trans. Neural Networks Learn. Syst., 2014

Blind Deconvolution Using Convex Programming.
IEEE Trans. Inf. Theory, 2014

Compressed Subspace Matching on the Continuum.
CoRR, 2014

Error estimating codes for insertion and deletion channels.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Robust off-grid recovery from compressed measurements.
Proceedings of the IEEE International Conference on Acoustics, 2014

Iterative soft-thresholding for time-varying signal recovery.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Convergence Speed of a Dynamical System for Sparse Recovery.
IEEE Trans. Signal Process., 2013

Fast and Accurate Algorithms for Re-Weighted ℓ<sub>1</sub>-Norm Minimization.
IEEE Trans. Signal Process., 2013

Matched Filtering From Limited Frequency Samples.
IEEE Trans. Inf. Theory, 2013

Sparse Shape Reconstruction.
SIAM J. Imaging Sci., 2013

Sparse Recovery of Streaming Signals Using L1-Homotopy.
CoRR, 2013

Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Poutine: A correlation estimator for ergodic stationary signals.
Proceedings of the IEEE International Conference on Acoustics, 2013

A tightest convex envelope heuristic to row sparse and rank one matrices.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Compressive sampling in array processing.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Low-complexity video compression and compressive sensing.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Convergence and Rate Analysis of Neural Networks for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2012

Efficient Calculations of 3-D FFTs on Spiral Contours.
J. Sci. Comput., 2012

A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

A Nonuniform Sampler for Wideband Spectrally-Sparse Environments.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization
CoRR, 2012

Compressive LADAR in realistic environments.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Image deconvolution via superfast inversion of a class of two-level Toeplitz matrices.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Compressive ladar detector noise performance.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Compressive multiplexers for correlated signals.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Compressive Matched-Field Processing
CoRR, 2011

Estimation and dynamic updating of time-varying signals with sparse variations.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sparsity penalties in dynamical system estimation.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Compressive sampling of correlated signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Beyond Nyquist: efficient sampling of sparse bandlimited signals.
IEEE Trans. Inf. Theory, 2010

Compressive Sensing on a CMOS Separable-Transform Image Sensor.
Proc. IEEE, 2010

Dynamic Updating for ell<sub>1</sub> Minimization.
IEEE J. Sel. Top. Signal Process., 2010

Restricted Isometries for Partial Random Circulant Matrices
CoRR, 2010

Just-in-time sampling and pre-filtering for wearable physiological sensors: going from days to weeks of operation on a single charge.
Proceedings of Wireless Health 2010, 2010

Spiral FFT: An efficient method for 3-D FFTS on spiral MRI contours.
Proceedings of the International Conference on Image Processing, 2010

Functional vanishing point estimation via a filtered-Radon operator.
Proceedings of the International Conference on Image Processing, 2010

On the LASSO and Dantzig selector equivalence.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Randomized group testing for acoustic source localization.
Proceedings of the Computational Imaging VIII, 2010

An overview of recent results on the identification of sparse channels using random probes.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Compressive Sensing by Random Convolution.
SIAM J. Imaging Sci., 2009

Channel Protection: Random Coding Meets Sparse Channels
CoRR, 2009

Dynamic updating for L1 minimization
CoRR, 2009

A uniform uncertainty principle for Gaussian circulant matrices.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Multi-camera tracking on a graph using Markov chain Monte Carlo.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Dynamic updating for sparse time varying signals.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Dantzig selector homotopy with dynamic measurements.
Proceedings of the Computational Imaging VII, 2009

Random channel coding and blind deconvolution.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Imaging via Compressive Sampling.
IEEE Signal Process. Mag., 2008

Capturing light field textures for video coding.
Proceedings of the International Conference on Image Processing, 2008

Compressive sensing on a CMOS separable transform image sensor.
Proceedings of the IEEE International Conference on Acoustics, 2008

Compressive sensing of parameterized shapes in images.
Proceedings of the IEEE International Conference on Acoustics, 2008

The Dantzig selector and generalized thresholding.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Streaming measurements in compressive sensing: ℓ1 filtering.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Found. Comput. Math., 2007

Variational methods for compressive sampling.
Proceedings of the Computational Imaging V, San Jose, 2007

2006
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information.
IEEE Trans. Inf. Theory, 2006

Wavelet-domain approximation and compression of piecewise smooth images.
IEEE Trans. Image Process., 2006

Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Found. Comput. Math., 2006

Robust Signal Recovery from Incomplete Observations.
Proceedings of the International Conference on Image Processing, 2006

Encoding the \ell_p Ball from Limited Measurements.
Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006

Sparse Signal Recovery via l1 Minimization.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005
Signal recovery from random projections.
Proceedings of the Computational Imaging III, San Jose, 2005

2003
Multiscale geometric image processing.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Rate-distortion optimized image compression using wedgelets.
Proceedings of the 2002 International Conference on Image Processing, 2002

Multiscale wedgelet image analysis: fast decompositions and modeling.
Proceedings of the 2002 International Conference on Image Processing, 2002

Image Compression using an Efficient Edge Cartoon + Texture Model.
Proceedings of the 2002 Data Compression Conference (DCC 2002), 2002

2001
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models.
IEEE Trans. Image Process., 2001

Multiscale edge grammars for complex wavelet transforms.
Proceedings of the 2001 International Conference on Image Processing, 2001

Adding linguistic constraints to document image decoding: comparing the iterated complete path and stack algorithms.
Proceedings of the Document Recognition and Retrieval VIII, 2001

2000
Bayesian Tree-Structured Image Modeling.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Multiscale Classification Using Complex Wavelets and Hidden Markov Tree Models.
Proceedings of the 2000 International Conference on Image Processing, 2000

Hidden Markov tree modeling of complex wavelet transforms.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Bayesian Wavelet-Domain Image Modeling Using Hidden Markov Trees.
Proceedings of the 1999 International Conference on Image Processing, 1999


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