Justin K. Romberg

According to our database1, Justin K. Romberg authored at least 121 papers between 1999 and 2020.

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

Awards

IEEE Fellow

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2020
Compressive Sampling of Ensembles of Correlated Signals.
IEEE Trans. Information Theory, 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.
Foundations of Computational Mathematics, 2019

Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices.
CoRR, 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

Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation.
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

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 Processing, 2018

Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs.
IEEE Trans. Network Science and Engineering, 2018

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

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

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

A 130 nm 165 nJ/frame Compressed-Domain Smashed-Filter-Based Mixed-Signal Classifier for "In-Sensor" Analytics in Smart Cameras.
IEEE Trans. on Circuits and Systems, 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 Sciences, 2018

Fast Convex Pruning of Deep Neural Networks.
CoRR, 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.
J. Sel. Topics Signal Processing, 2016

An Overview of Low-Rank Matrix Recovery From Incomplete Observations.
J. Sel. Topics Signal Processing, 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 Processing, 2015

Compressive Multiplexing of Correlated Signals.
IEEE Trans. Information 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 Sciences, 2015

Convex Cardinal Shape Composition.
SIAM J. Imaging Sciences, 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 Processing, 2014

Sparse Recovery of Streaming Signals Using ℓ1-Homotopy.
IEEE Trans. Signal Processing, 2014

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

Blind Deconvolution Using Convex Programming.
IEEE Trans. Information 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 Processing, 2013

Fast and Accurate Algorithms for Re-Weighted ℓ1-Norm Minimization.
IEEE Trans. Signal Processing, 2013

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

Sparse Shape Reconstruction.
SIAM J. Imaging Sciences, 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 Netw. Learning 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. Information Theory, 2010

Compressive Sensing on a CMOS Separable-Transform Image Sensor.
Proceedings of the IEEE, 2010

Dynamic Updating for ell1 Minimization.
J. Sel. Topics Signal Processing, 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 Sciences, 2009

Channel Protection: Random Coding Meets Sparse Channels
CoRR, 2009

Dynamic updating for L1 minimization
CoRR, 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

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

2007
Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Foundations of Computational Mathematics, 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. Information Theory, 2006

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

Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Foundations of Computational Mathematics, 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

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 Processing, 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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