Kiryung Lee

Sohail Bahmani

IEEE Trans. Inf. Theory, 2024

2023

Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing.

[BibT_eX]

[DOI]

Rakshith Sharma Srinivasa

Dominik Stöger

SIAM J. Math. Data Sci., September, 2023

Sketching Low-Rank Matrices With a Shared Column Space by Convex Programming.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2023

Max-affine regression via first-order methods.

[BibT_eX]

[DOI]

CoRR, 2023

Fast max-affine regression via stochastic gradient descent.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Identification of Pulse Streams Of Unknown Shape From Time Encoding Machine Samples.

[BibT_eX]

[DOI]

Meghna Kalra

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization.

[BibT_eX]

[DOI]

Sohail Bahmani

SIAM J. Matrix Anal. Appl., 2021

Max-Linear Regression by Scalable and Guaranteed Convex Programming.

[BibT_eX]

[DOI]

Sohail Bahmani

CoRR, 2021

Sub-NYQUIST Multichannel Blind Deconvolution.

[BibT_eX]

[DOI]

Satish Mulleti

Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Identifiability Conditions for Compressive Multichannel Blind Deconvolution.

[BibT_eX]

[DOI]

Satish Mulleti

Yonina C. Eldar

IEEE Trans. Signal Process., 2020

Convolutional Framework for Accelerated Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Blind Gain and Phase Calibration via Sparse Spectral Methods.

[BibT_eX]

[DOI]

Rakshith Sharma Srinivasa

IEEE Trans. Inf. Theory, 2019

Phase Retrieval of Low-Rank Matrices by Anchored Regression.

[BibT_eX]

[DOI]

CoRR, 2019

Decentralized sketching of low rank matrices.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization.

[BibT_eX]

[DOI]

Yihong Wu

IEEE Trans. Inf. Theory, 2018

Fast and Guaranteed Blind Multichannel Deconvolution Under a Bilinear System Model.

[BibT_eX]

[DOI]

Ning Tian

IEEE Trans. Inf. Theory, 2018

Unified Theory for Recovery of Sparse Signals in a General Transform Domain.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness.

[BibT_eX]

[DOI]

Felix Krahmer

SIAM J. Imaging Sci., 2018

2017

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Blind Recovery of Sparse Signals From Subsampled Convolution.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

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

[BibT_eX]

[DOI]

Felix Krahmer

CoRR, 2017

Performance guarantees of spectral methods for passive sensing of multiple channels.

[BibT_eX]

[DOI]

Ning Tian

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016

Optimal Sample Complexity for Blind Gain and Phase Calibration.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Optimal sample complexity for stable matrix recovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

F-DETA: A Framework for Detecting Electricity Theft Attacks in Smart Grids.

[BibT_eX]

[DOI]

Varun Badrinath Krishna

Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

2015

Identifiability in Blind Deconvolution under Minimal Assumptions.

[BibT_eX]

[DOI]

CoRR, 2015

A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models.

[BibT_eX]

[DOI]

CoRR, 2015

RIP-like Properties in Subsampled Blind Deconvolution.

[BibT_eX]

[DOI]

CoRR, 2015

2013

Oblique Pursuits for Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

Corrections to "ADMiRA: Atomic Decomposition for Minimum Rank Approximation".

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization.

[BibT_eX]

[DOI]

Yihong Wu

CoRR, 2013

Oblique pursuits for compressed sensing with random anisotropic measurements.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

Efficient and guaranteed algorithms for sparse inverse problems

[BibT_eX]

[DOI]

PhD thesis, 2012

Subspace Methods for Joint Sparse Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

2010

ADMiRA: atomic decomposition for minimum rank approximation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

iMUSIC: Iterative MUSIC Algorithm for Joint Sparse Recovery with Any Rank

[BibT_eX]

[DOI]

CoRR, 2010

2009

Guaranteed Minimum Rank Approximation from Linear Observations by Nuclear Norm Minimization with an Ellipsoidal Constraint

[BibT_eX]

[DOI]

CoRR, 2009

Efficient and guaranteed rank minimization by atomic decomposition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

2008

Block-Coordinate Gauss-Newton Optimization and Constrained Monotone Regression for Image Registration in the Presence of Outlier Objects.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2008

Computing performance guarantees for compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2007

2006

Joint Optimization of Image Registration and Comparametric Exposure Compensation Based on the Lucas-Kanade Algorithm.

[BibT_eX]

[DOI]

Su Yeon Lee

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Empirical Conditional Mean: Nonparametric Estimator for Comparametric Exposure Compensation.

[BibT_eX]

[DOI]

Su Yeon Lee

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Joint Optimization of Spatial Registration and Histogram Compensation for Microscopic Images.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Regression-based prediction for blocking artifact reduction in JPEG-compressed images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2005

2004

An asymmetric watermarking system with many embedding watermarks corresponding to one detection watermark.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2004

Transformed-key asymmetric watermarking system.

[BibT_eX]

[DOI]

Hyuk Choi

IEEE Signal Process. Lett., 2004

2003

EM Estimation of Scale Factor for Quantization-Based Audio Watermarking.

[BibT_eX]

[DOI]

Proceedings of the Digital Watermarking, Second International Workshop, 2003

Generation of embedding watermark signals from reference watermark of the detector.

[BibT_eX]

[DOI]

Tae-Young Kim

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Amplitude-modification resilient watermarking based on A-law companding.

[BibT_eX]

[DOI]

Kyung-Ae Moon

Proceedings of the 2003 International Conference on Image Processing, 2003

Training sequence size in clustering algorithms and averaging single-particle images.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

A new postprocessing algorithm based on regression functions.

[BibT_eX]

[DOI]