Justin Romberg

发表

Deciphering our Digital World

Peter J. Ludovice, Justin Romberg, 2012 .

Compressive Sampling via Random Convolution

Justin Romberg, J. Romberg, 2007 .

Efficient seismic forward modeling using simultaneous random sources and sparsity

Max Deffenbaugh, Ramesh Neelamani, Justin Romberg, 2010 .

A Hidden Markov Tree Model for the Complex Wavelet Transform

Richard G. Baraniuk, Justin Romberg, Hay-mie Choi, 2001 .

Multichannel blind deconvolution using low rank recovery

Karim G. Sabra, Justin Romberg, Ning Tian, 2013, Defense, Security, and Sensing.

Compressive Sensing on a CMOS Separable-Transform Image Sensor

Paul Hasler, Leung Kin Chiu, Justin Romberg, 2010, Proc. IEEE.

Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning

Thinh T. Doan, Justin Romberg, Siva Theja Maguluri, 2019, ICML.

Efficient Signal Reconstruction via Distributed Least Square Optimization on a Systolic FPGA Architecture

Justin Romberg, Samantak Gangopadhyay, Arijit Raychowdhury, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multiple channel estimation using spectrally random probes

Justin Romberg, J. Romberg, 2009, Optical Engineering + Applications.

Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization

Thinh T. Doan, Justin Romberg, Siva Theja Maguluri, 2018, IEEE Transactions on Automatic Control.

Sample complexity and effective dimension for regression on manifolds pdf

Justin Romberg, Mark Davenport, Andrew McRae, 2020, NeurIPS.

Efficient seismic forward modeling using simultaneous random sources and sparsity

Max Deffenbaugh, Ramesh Neelamani, Justin Romberg, 2008 .

Compressive LIDAR Conceptual Model and Simulation Results

Christopher J. Rozell, Aaron D. Lanterman, Justin Romberg, 2011 .

Compressed Sensing Theory and Algorithms for Imaging Applications

Justin Romberg, 2019 .

Practical Signal Recovery from Random Projections

Justin Romberg, J. Romberg, 2005 .

Inverting Underdetermined Linear Systems Using Structure

Justin Romberg, 2012 .

Solving Equations of Random Convex Functions via Anchored Regression

Justin Romberg, Sohail Bahmani, J. Romberg, 2017, Found. Comput. Math..

Compressive phase retrieval

Richard G. Baraniuk, Justin Romberg, Matthew L. Moravec, 2007, SPIE Optical Engineering + Applications.

Online Adaptive Learning in Energy Trading Stackelberg Games with Time-Coupling Constraints

Kyriakos G. Vamvoudakis, Dimitri N. Mavris, Justin Romberg, 2021, 2021 American Control Conference (ACC).

Anisotropic Scatterer Models for Representing RCS of Complex Objects

Madhavan Swaminathan, Saibal Mukhopadhyay, Justin Romberg, 2021, 2021 IEEE Radar Conference (RadarConf21).

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

Jimeng Sun, Cao Xiao, Justin Romberg, 2021, J. Am. Medical Informatics Assoc..

Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes pdf

Thinh T. Doan, Justin Romberg, Sihan Zeng, 2021, ArXiv.

Streaming Solutions for Time-Varying Optimization Problems

Justin Romberg, Tomer Hamam, 2021 .

Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach

Thinh T. Doan, Justin Romberg, Siva Theja Maguluri, 2021, IEEE Transactions on Automatic Control.

A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning pdf

Thinh T. Doan, Justin Romberg, Sihan Zeng, 2021, ArXiv.

Decentralized Feature-Distributed Optimization for Generalized Linear Models pdf

Justin Romberg, Sohail Bahmani, Brighton Ancelin, 2021, ArXiv.

Thomson’s Multitaper Method Revisited pdf

Mark A. Davenport, Santhosh Karnik, Justin Romberg, 2021, IEEE Transactions on Information Theory.

A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning

Arijit Raychowdhury, Justin Romberg, Aqeel Anwar, 2021, UAI.

Approximately low-rank recovery from noisy and local measurements by convex program

Justin Romberg, Rakshith Sharma Srinivasa, Marius Junge, 2021 .

Basis pursuit with sequential measurements and time varying signals

M. Salman Asif, Justin Romberg, 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Entropy Estimates on Tensor Products of Banach Spaces and Applications to Low-Rank Recovery

Justin Romberg, Rakshith Sharma Srinivasa, Marius Junge, 2019, 2019 13th International conference on Sampling Theory and Applications (SampTA).

Motion‐adaptive spatio‐temporal regularization for accelerated dynamic MRI

M. Salman Asif, Justin Romberg, J. Romberg, 2013, Magnetic resonance in medicine.

Sample complexity and effective dimension for regression on manifolds pdf

Justin Romberg, Mark Davenport, Andrew D. McRae, 2020, NeurIPS.

An eigen approach to stable multichannel blind deconvolution under an FIR subspace model

Felix Krahmer, Justin Romberg, Kiryung Lee, 2017, 2017 International Conference on Sampling Theory and Applications (SampTA).

Distributed Stochastic Approximation for Solving Network Optimization Problems Under Random Quantization

Thinh T. Doan, Justin Romberg, Siva Theja Maguluri, 2018, 1810.11568.

The fast Slepian transform

Zhihui Zhu, Michael B. Wakin, Mark A. Davenport, 2019, Applied and Computational Harmonic Analysis.

Global convergence of the Locally Competitive Algorithm

Christopher J. Rozell, Justin Romberg, Aurele Balavoine, 2011, 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE).

Round-robin multiple-source localization.

Justin Romberg, Karim G Sabra, William Mantzel, 2014, The Journal of the Acoustical Society of America.

A uniform uncertainty principle for Gaussian circulant matrices

Justin Romberg, J. Romberg, 2009, 2009 16th International Conference on Digital Signal Processing.

Motion-Adaptive Spatio-Temporal Regularization ( MASTeR ) for Accelerated Dynamic MRI

M. Salman Asif, Justin Romberg, J. Romberg, 2012 .

Sparse signal recovery and dynamic update of the underdetermined system

M. Salman Asif, Justin Romberg, J. Romberg, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.