Raj Rao Nadakuditi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Detection Thresholds in Very Sparse Matrix Completion	2022	Charles Bordenave Simon Coste Raj Rao Nadakuditi
+ PDF Chat	Sparse equisigned PCA: Algorithms and performance bounds in the noisy rank-1 setting	2020	Arvind Prasadan Raj Rao Nadakuditi Debashis Paul
+ PDF Chat	Time Series Source Separation Using Dynamic Mode Decomposition	2020	Arvind Prasadan Raj Rao Nadakuditi
+	Detection thresholds in very sparse matrix completion	2020	Charles Bordenave Simon Coste Raj Rao Nadakuditi
+	Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models	2019	Brian E. Moore Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler
+	Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting	2019	Arvind Prasadan Raj Rao Nadakuditi Debashis Paul
+ PDF Chat	Spectra of random networks with arbitrary degrees	2019	M. E. J. Newman Xiao Zhang Raj Rao Nadakuditi
+ PDF Chat	Panoramic Robust PCA for Foreground–Background Separation on Noisy, Free-Motion Camera Video	2019	Brian E. Moore Chen Gao Raj Rao Nadakuditi
+	Time Series Source Separation using Dynamic Mode Decomposition	2019	Arvind Prasadan Raj Rao Nadakuditi
+	Free Component Analysis: Theory, Algorithms & Applications	2019	Hao Wu Raj Rao Nadakuditi
+	Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting	2019	Arvind Prasadan Raj Rao Nadakuditi Debashis Paul
+	Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models	2018	Brian E. Moore Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler
+ PDF Chat	Robust Photometric Stereo via Dictionary Learning	2018	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+	Mode control in a multimode fiber through acquiring its transmission matrix from a reference-less optical system	2018	Moussa N’Gom Theodore B. Norris Eric Michielssen Raj Rao Nadakuditi
+	Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models	2018	Brian E. Moore Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler
+	Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video	2017	Brian E. Moore Chen Gao Raj Rao Nadakuditi
+ PDF Chat	Augmented robust PCA for foreground-background separation on noisy, moving camera video	2017	Gao Chen Brian E. Moore Raj Rao Nadakuditi
+	Robust Photometric Stereo via Dictionary Learning	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+	Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+	Robust Photometric Stereo Using Learned Image and Gradient Dictionaries	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+ PDF Chat	Robust photometric stereo using learned image and gradient dictionaries	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+ PDF Chat	Robust surface reconstruction from gradients via adaptive dictionary regularization	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+ PDF Chat	Controlling Light Transmission Through Highly Scattering Media Using Semi-Definite Programming as a Phase Retrieval Computation Method	2017	Moussa N’Gom Miao-Bin Lien Nooshin M. Estakhri Theodore B. Norris Eric Michielssen Raj Rao Nadakuditi
+ PDF Chat	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems	2017	Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler
+	Improved Detection of Correlated Signals in Low-Rank-Plus-Noise Type Data Sets Using Informative Canonical Correlation Analysis (ICCA)	2017	Nicholas Asendorf Raj Rao Nadakuditi
+ PDF Chat	Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging	2017	Saiprasad Ravishankar Brian E. Moore Raj Rao Nadakuditi Jeffrey A. Fessler
+	Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video	2017	Chen Gao Brian E. Moore Raj Rao Nadakuditi
+	Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+	Robust Photometric Stereo via Dictionary Learning	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+	Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video	2017	Brian E. Moore Gao Chen Raj Rao Nadakuditi
+	Robust Photometric Stereo Using Learned Image and Gradient Dictionaries	2017	Andrew Wagenmaker Brian E. Moore Raj Rao Nadakuditi
+	Controlling Light Transmission Through Highly Scattering Media Using Semi-Definite Programming as a Phase Retrieval Computation Method	2016	Moussa N’Gom Miao-Bin Lien Nooshin M. Estakhri Theodore B. Norris Eric Michielssen Raj Rao Nadakuditi
+	Controlling Light Transmission Through Highly Scattering Media Using Semi-Definite Programming as a Phase Retrieval Computation Method	2016	Moussa N’Gom Miao-Bin Lien Nooshin M. Estakhri Theodore B. Norris Eric Michielssen Raj Rao Nadakuditi
+	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method	2015	Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler
+	Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL).	2015	Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler
+	Fundamental limits of singular value based signal detection from randomly compressed signal-plus-noise matrices	2015	Nicholas Asendorf Raj Rao Nadakuditi
+	OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices	2015	Himanshu Nayar Raj Rao Nadakuditi
+	Random matrix theory inspired passive bistatic radar detection of low-rank signals	2015	Sandeep Gogineni Pawan Setlur Muralidhar Rangaswamy Raj Rao Nadakuditi
+	Random matrix theory inspired passive bistatic radar detection with noisy reference signal	2015	Sandeep Gogineni Pawan Setlur Muralidhar Rangaswamy Raj Rao Nadakuditi
+	The transmission coefficient distribution of highly scattering sparse random media	2015	Curtis Jin Raj Rao Nadakuditi Eric Michielssen
+	Sampling unitary ensembles	2015	Sheehan Olver Raj Rao Nadakuditi Thomas Trogdon
+ PDF Chat	Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices	2015	Brendan Farrell Raj Rao Nadakuditi
+	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method	2015	Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler
+	Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices	2014	Himanshu Nayar Raj Rao Nadakuditi
+ PDF Chat	Backscatter analysis based algorithms for increasing transmission through highly scattering random media using phase-only-modulated wavefronts	2014	Curtis Jin Raj Rao Nadakuditi Eric Michielssen Stephen C. Rand
+ PDF Chat	Spectra of random graphs with community structure and arbitrary degrees	2014	Xiao Zhang Raj Rao Nadakuditi M. E. J. Newman
+ PDF Chat	Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times	2014	Jinho Baik Raj Rao Nadakuditi
+ PDF Chat	OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage	2014	Raj Rao Nadakuditi
+	Sampling unitary invariant ensembles	2014	Sheehan Olver Raj Rao Nadakuditi Thomas Trogdon
+	Local Spectrum of Truncations of Kronecker Products of Haar Distributed Unitary Matrices	2013	Brendan Farrell Raj Rao Nadakuditi
+ PDF Chat	Iterative, backscatter-analysis algorithms for increasing transmission and focusing light through highly scattering random media	2013	Curtis Jin Raj Rao Nadakuditi Eric Michielssen Stephen C. Rand
+	On bottleneck analysis in stochastic stream processing	2013	Raj Rao Nadakuditi Igor L. Markov
+	Optimally weighted recovery of a low-rank signal matrix from a high-dimensional signal-plus-noise matrix.	2013	Raj Rao Nadakuditi
+	When are the most informative components for inference also the principal components	2013	Raj Rao Nadakuditi
+	The Performance of a Matched Subspace Detector That Uses Subspaces Estimated From Finite, Noisy, Training Data	2013	Nicholas Asendorf Raj Rao Nadakuditi
+ PDF Chat	Spectra of random graphs with arbitrary expected degrees	2013	Raj Rao Nadakuditi M. E. J. Newman
+	When are the most informative components for inference also the principal components?	2013	Raj Rao Nadakuditi
+	Local Spectrum of Truncations of Kronecker Products of Haar Distributed Unitary Matrices	2013	Brendan Farrell Raj Rao Nadakuditi
+	The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data	2012	Nicholas Asendorf Raj Tejas Suryaprakash Raj Rao Nadakuditi
+	On hard limits of eigen-analysis based planted clique detection	2012	Raj Rao Nadakuditi
+	The singular values and vectors of low rank perturbations of large rectangular random matrices	2012	Florent Benaych-Georges Raj Rao Nadakuditi
+ PDF Chat	Graph Spectra and the Detectability of Community Structure in Networks	2012	Raj Rao Nadakuditi M. E. J. Newman
+	Numerical computation of convolutions in free probability theory	2012	Sheehan Olver Raj Rao Nadakuditi
+	Numerical computation of convolutions in free probability theory	2012	Sheehan Olver Raj Rao Nadakuditi
+	Improving and characterizing the performance of stochastic matched subspace detectors when using noisy estimated subspaces	2011	Nicholas Asendorf Raj Rao Nadakuditi
+	Exploiting random matrix theory to improve noisy low-rank matrix approximation	2011	Raj Rao Nadakuditi
+	Fundamental finite-sample limit of canonical correlation analysis based detection of correlated high-dimensional signals in white noise	2011	Raj Rao Nadakuditi
+	The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices	2011	Florent Benaych-Georges Raj Rao Nadakuditi
+ PDF Chat	Latency-optimizing file splitting for transmission over a large multi-hop network	2011	Raj Rao Nadakuditi Mingyan Liu
+ PDF Chat	On the costs and benefits of stochasticity in stream processing	2010	Raj Rao Nadakuditi Igor L. Markov
+ PDF Chat	Fundamental Limit of Sample Generalized Eigenvalue Based Detection of Signals in Noise Using Relatively Few Signal-Bearing and Noise-Only Samples	2010	Raj Rao Nadakuditi Jack W. Silverstein
+	The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices	2009	Florent Benaych-Georges Raj Rao Nadakuditi
+ PDF Chat	Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples	2008	Raj Rao Nadakuditi Alan Edelman
+	Fundamental Limit of Sample Eigenvalue based Detection of Signals in Colored Noise using Relatively Few Samples	2007	Raj Rao Nadakuditi Jack W. Silverstein
+ PDF Chat	Sample size cognizant detection of signals in white noise	2007	Raj Rao Nadakuditi Alan Edelman

Common Coauthors

Coauthor	Papers Together
Brian E. Moore	18
Andrew Wagenmaker	9
Saiprasad Ravishankar	8
Jeffrey A. Fessler	8
E. Michielssen	7
Nicholas Asendorf	5
Arvind Prasadan	5
M. E. J. Newman	4
Theodore B. Norris	4
Moussa N’Gom	4
Sheehan Olver	4
Curtis Jin	3
Brendan Farrell	3
Nooshin M. Estakhri	3
Debashis Paul	3
Miao-Bin Lien	3
Florent Benaych-Georges	3
Stephen C. Rand	2
Chen Gao	2
Himanshu Nayar	2
Jack W. Silverstein	2
Alan Edelman	2
Thomas Trogdon	2
Pawan Setlur	2
Muralidhar Rangaswamy	2
Igor L. Markov	2
Simon Coste	2
Sandeep Gogineni	2
Charles Bordenave	2
Raj Tejas Suryaprakash	1
Xiao Zhang	1
Xiao Zhang	1
Gao Chen	1
Gao Chen	1
Chen Gao	1
Hao Wu	1
Jinho Baik	1
Mingyan Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The singular values and vectors of low rank perturbations of large rectangular random matrices	2012	Florent Benaych-Georges Raj Rao Nadakuditi	16
+	The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices	2011	Florent Benaych-Georges Raj Rao Nadakuditi	14
+	ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL	2007	Debashis Paul	14
+ PDF Chat	Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices	2005	Jinho Baik Gérard Ben Arous Sandrine Péché	13
+ PDF Chat	Tracy–Widom limit for the largest eigenvalue of a large class of complex sample covariance matrices	2007	Noureddine El Karoui	11
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	10
+ PDF Chat	Fundamental Limit of Sample Generalized Eigenvalue Based Detection of Signals in Noise Using Relatively Few Signal-Bearing and Noise-Only Samples	2010	Raj Rao Nadakuditi Jack W. Silverstein	10
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	9
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	9
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	9
+ PDF Chat	Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging	2017	Saiprasad Ravishankar Brian E. Moore Raj Rao Nadakuditi Jeffrey A. Fessler	9
+ PDF Chat	Spectral Analysis of Large Dimensional Random Matrices	2009	Zhidong Bai Jack W. Silverstein	8
+ PDF Chat	OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage	2014	Raj Rao Nadakuditi	8
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	7
+	Random matrix theory	2005	Alan Edelman N. Raj Rao	7
+ PDF Chat	The Polynomial Method for Random Matrices	2007	N. Raj Rao Alan Edelman	6
+ PDF Chat	Measuring the Transmission Matrix in Optics: An Approach to the Study and Control of Light Propagation in Disordered Media	2010	Sébastien M. Popoff Geoffroy Lerosey Rémi Carminati Mathias Fink A. C. Boccara Sylvain Gigan	6
+ PDF Chat	Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples	2008	Raj Rao Nadakuditi Alan Edelman	6
+ PDF Chat	Finite sample approximation results for principal component analysis: A matrix perturbation approach	2008	Boaz Nadler	6
+ PDF Chat	Rectangular random matrices, related convolution	2008	Florent Benaych-Georges	5
+	Limit laws for Random matrices and free products	1991	Dan Voiculescu	5
+ PDF Chat	The largest eigenvalues of finite rank deformation of large Wigner matrices: Convergence and nonuniversality of the fluctuations	2009	Mireille Capitaine Catherine Donati-Martin Delphine Féral	5
+ PDF Chat	Phase control algorithms for focusing light through turbid media	2008	Ivo M. Vellekoop Allard P. Mosk	5
+ PDF Chat	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems	2017	Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler	5
+	Analysis of the Limiting Spectral Distribution of Large Dimensional Random Matrices	1995	Jack W. Silverstein Sang Il Choi	5
+	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method	2015	Saiprasad Ravishankar Raj Rao Nadakuditi Jeffrey A. Fessler	5
+ PDF Chat	From Shading to Local Shape	2014	Ying Xiong Ayan Chakrabarti Ronen Basri Steven J. Gortler David W. Jacobs Todd Zickler	5
+	High Dimensional Statistical Inference and Random Matrices	2006	Iain M. Johnstone	4
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	4
+	Compressed sensing	2006	David L. Donoho	4
+ PDF Chat	An Introduction to Random Matrices	2009	Greg W. Anderson Alice Guionnet Ofer Zeitouni	4
+ PDF Chat	Shape Fluctuations and Random Matrices	2000	Kurt Johansson	4
+ PDF Chat	Multivariate analysis and Jacobi ensembles: Largest eigenvalue, Tracy–Widom limits and rates of convergence	2008	Iain M. Johnstone	4
+ PDF Chat	Product of random projections, Jacobi ensembles and universality problems arising from free probability	2005	C. Benoît	4
+ PDF Chat	Rank-Sparsity Incoherence for Matrix Decomposition	2011	Venkat Chandrasekaran Sujay Sanghavi Pablo A. Parrilo Alan S. Willsky	4
+ PDF Chat	SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS	1960	L. Mirsky	4
+ PDF Chat	Departures from Many Queues in Series	1991	Peter W. Glynn Ward Whitt	4
+	Free Random Variables	1992	Dan Voiculescu Kenneth J. Dykema Alexandru Nica	4
+	Approximated Robust Principal Component Analysis for Improved General Scene Background Subtraction	2016	Salehe Erfanian Ebadi Valia Guerra-Ones Ebroul Izquierdo	4
+	Some estimates of norms of random matrices	2004	Rafał Latała	4
+ PDF Chat	Graph Spectra and the Detectability of Community Structure in Networks	2012	Raj Rao Nadakuditi M. E. J. Newman	4
+	Modularity and community structure in networks	2006	M. E. J. Newman	4
+ PDF Chat	Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery	2018	Namrata Vaswani Thierry Bouwmans Sajid Javed Praneeth Narayanamurthy	4
+ PDF Chat	Augmented robust PCA for foreground-background separation on noisy, moving camera video	2017	Gao Chen Brian E. Moore Raj Rao Nadakuditi	4
+	Principal Component Analysis	2005	Ian T. Jolliffe	4
+ PDF Chat	Algebraic connectivity of graphs	1973	Miroslav Fiedler	3
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	3
+	Minimax bounds for sparse PCA with noisy high-dimensional data	2013	Aharon Birnbaum Iain M. Johnstone Boaz Nadler Debashis Paul	3
+	Fundamental finite-sample limit of canonical correlation analysis based detection of correlated high-dimensional signals in white noise	2011	Raj Rao Nadakuditi	3
+	Partitioning Sparse Matrices with Eigenvectors of Graphs	1990	Alex Pothen Horst D. Simon K. N. Liou	3