Justin K. Romberg
According to our database^{1},
Justin K. Romberg
authored at least 121 papers
between 1999 and 2020.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2018, "For contributions to compressive sensing".
Timeline
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at orcid.org
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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
Hardwareaware Pruning of DNNs using LFSRGenerated PseudoRandom Indices.
CoRR, 2019
Phase Retrieval of LowRank Matrices by Anchored Regression.
CoRR, 2019
A Reinforcement Learning Framework for Sequencing MultiRobot Behaviors.
CoRR, 2019
Convex Programming for Estimation in Nonlinear Recurrent Models.
CoRR, 2019
FiniteTime 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
FiniteTime Analysis of Distributed TD(0) with Linear Function Approximation on MultiAgent 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 SpatialArrayProcessor With A Hierarchical MultiCast OnChip Network For Solving Distributed Optimizations.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2019
Linear TwoTimeScale Stochastic Approximation A FiniteTime 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 LightPowered Smart Camera With Compressed Domain Gesture Detection.
IEEE Trans. Circuits Syst. Video Techn., 2018
A 130 nm 165 nJ/frame CompressedDomain SmashedFilterBased MixedSignal Classifier for "InSensor" Analytics in Smart Cameras.
IEEE Trans. on Circuits and Systems, 2018
The Eigenvalue Distribution of Discrete Periodic TimeFrequency 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: Nonasymptotic Performance and Robustness.
CoRR, 2017
Anchored Regression: Solving Random Convex Equations via Convex Programming.
CoRR, 2017
NetTrim: 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
Appearancebased 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 compressivesensing timebased ADC with embedded classification and INLaware 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 LowRank Matrix Recovery From Incomplete Observations.
J. Sel. Topics Signal Processing, 2016
Object Learning and Convex Cardinal Shape Composition.
CoRR, 2016
NetTrim: A Layerwise Convex Pruning of Deep Neural Networks.
CoRR, 2016
Sweep Distortion Removal from THz Images via Blind Demodulation.
CoRR, 2016
A Lightpowered, "AlwaysOn", 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 ContinuousTime SoftThresholding 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
NearOptimal Estimation of Simultaneously Sparse and LowRank 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 lowrank covariance matrices.
Proceedings of the 6th IEEE International Workshop on Computational Advances in MultiSensor 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 ℓ_{1}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 offgrid recovery from compressed measurements.
Proceedings of the IEEE International Conference on Acoustics, 2014
Iterative softthresholding for timevarying 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 ReWeighted ℓ_{1}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 L1Homotopy.
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 MultiSensor Adaptive Processing, 2013
Lowcomplexity 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 3D 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 SpectrallySparse Environments.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012
Fast and Accurate Algorithms for ReWeighted L1Norm 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 twolevel 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 MatchedField Processing
CoRR, 2011
Estimation and dynamic updating of timevarying 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 SeparableTransform Image Sensor.
Proceedings of the IEEE, 2010
Dynamic Updating for ell_{1} Minimization.
J. Sel. Topics Signal Processing, 2010
Restricted Isometries for Partial Random Circulant Matrices
CoRR, 2010
Justintime sampling and prefiltering 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 3D FFTS on spiral MRI contours.
Proceedings of the International Conference on Image Processing, 2010
Functional vanishing point estimation via a filteredRadon 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
Multicamera 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
Waveletdomain 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
Ratedistortion 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 treestructured image modeling using waveletdomain 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 TreeStructured 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 WaveletDomain Image Modeling Using Hidden Markov Trees.
Proceedings of the 1999 International Conference on Image Processing, 1999