Raj Rao Nadakuditi

70 papers B 2C 1Misc 10Journal 38Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation. CoRR Rishi Sonthalia, Raj Rao Nadakuditi
2023	J	`jnl`	Detection Thresholds in Very Sparse Matrix Completion. Found. Comput. Math. Charles Bordenave, Simon Coste, Raj Rao Nadakuditi
2023	J	`jnl`	Free Component Analysis: Theory, Algorithms and Applications. Found. Comput. Math. Raj Rao Nadakuditi, Hao Wu
2023	J	`jnl`	Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise. Trans. Mach. Learn. Res. Rishi Sonthalia, Raj Rao Nadakuditi
2020	J	`jnl`	Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. IEEE Trans. Computational Imaging Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2020	J	`jnl`	Time Series Source Separation Using Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. Arvind Prasadan, Raj Rao Nadakuditi
2019	J	`jnl`	Free Component Analysis: Theory, Algorithms & Applications. CoRR Hao Wu, Raj Rao Nadakuditi
2019	J	`jnl`	Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video. IEEE Trans. Computational Imaging Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
2019	—	`conf`	Phase Transitions in the Dynamic Mode Decomposition Algorithm. CAMSAP Arvind Prasadan, Asad Lodhia, Raj Rao Nadakuditi
2019	J	`jnl`	Robust Photometric Stereo via Dictionary Learning. IEEE Trans. Computational Imaging Andrew John Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2019	J	`jnl`	Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting. CoRR Arvind Prasadan, Raj Rao Nadakuditi, Debashis Paul
2019	J	`jnl`	Spectra of random networks with arbitrary degrees. CoRR M. E. J. Newman, Xiao Zhang, Raj Rao Nadakuditi
2019	J	`jnl`	Time Series Source Separation using Dynamic Mode Decomposition. CoRR Arvind Prasadan, Raj Rao Nadakuditi
2018	J	`jnl`	Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. CoRR Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2018	J	`jnl`	Passive Radar Detection With Noisy Reference Channel Using Principal Subspace Similarity. IEEE Trans. Aerosp. Electron. Syst. Sandeep Gogineni, Pawan Setlur, Muralidhar Rangaswamy, Raj Rao Nadakuditi
2018	—	`conf`	Reference-less Method for Computing the Transmission Matrix of a Multimode Fiber. OFC Moussa N'Gom, Theodore B. Norris, Eric Michielssen, Raj Rao Nadakuditi
2018	—	`conf`	The Finite Sample Performance of Dynamic Mode Decomposition. GlobalSIP Arvind Prasadan, Raj Rao Nadakuditi
2017	J	`jnl`	Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video. CoRR Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
2017	—	`conf`	Augmented robust PCA for foreground-background separation on noisy, moving camera video. GlobalSIP Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
2017	J	`jnl`	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems. IEEE Trans. Computational Imaging Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2017	Misc	`conf`	Efficient online dictionary adaptation and image reconstruction for dynamic MRI. ACSSC Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2017	J	`jnl`	Improved Detection of Correlated Signals in Low-Rank-Plus-Noise Type Data Sets Using Informative Canonical Correlation Analysis (ICCA). IEEE Trans. Inf. Theory Nicholas Asendorf, Raj Rao Nadakuditi
2017	J	`jnl`	Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. IEEE Trans. Medical Imaging Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2017	J	`jnl`	Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video. CoRR Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
2017	J	`jnl`	Robust Photometric Stereo Using Learned Image and Gradient Dictionaries. CoRR Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	J	`jnl`	Robust Photometric Stereo via Dictionary Learning. CoRR Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	J	`jnl`	Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization. CoRR Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	B	`conf`	Robust photometric stereo using learned image and gradient dictionaries. ICIP Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	B	`conf`	Robust surface reconstruction from gradients via adaptive dictionary regularization. ICIP Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2016	—	`conf`	Comparison of passive radar detectors with noisy reference signal. SSP Sandeep Gogineni, Pawan Setlur, Muralidhar Rangaswamy, Raj Rao Nadakuditi
2016	—	`conf`	Efficient learning of dictionaries with low-rank atoms. GlobalSIP Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2016	Misc	`conf`	Free component analysis. ACSSC Hao Wu, Raj Rao Nadakuditi
2016	—	`conf`	LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. IVMSP Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2016	J	`jnl`	Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. CoRR Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2016	—	`conf`	Robust PCA: Low rank matrix estimation with hard or soft thresholding-based outlier rejection. GlobalSIP Brian E. Moore, Raj Rao Nadakuditi
2016	—	`conf`	Sum of outer products dictionary learning for inverse problems. GlobalSIP Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2015	Misc	`conf`	Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors. ICASSP Raj Tejas Suryaprakash, Brian E. Moore, Raj Rao Nadakuditi
2015	—	`conf`	Algorithms for estimation of low-rank matrices with triple Kronecker structured singular vectors. CAMSAP Raj Tejas Suryaprakash, Raj Rao Nadakuditi
2015	J	`jnl`	Consistency and MSE Performance of MUSIC-Based DOA of a Single Source in White Noise With Randomly Missing Data. IEEE Trans. Signal Process. Raj Tejas Suryaprakash, Raj Rao Nadakuditi
2015	J	`jnl`	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method. CoRR Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2015	J	`jnl`	Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL). CoRR Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2015	Misc	`conf`	Fundamental limits of singular value based signal detection from randomly compressed signal-plus-noise matrices. ACSSC Nicholas Asendorf, Raj Rao Nadakuditi
2015	Misc	`conf`	Improved estimation of canonical vectors in canonical correlation analysis. ACSSC Nicholas Asendorf, Raj Rao Nadakuditi
2015	Misc	`conf`	Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. ACSSC Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda Sulo Caceres, Steven Thomas Smith, Raj Rao Nadakuditi
2015	Misc	`conf`	Improving multiset canonical correlation analysis in high dimensional sample deficient settings. ACSSC Nicholas Asendorf, Raj Rao Nadakuditi
2015	C	`conf`	OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices. FUSION Himanshu Nayar, Raj Rao Nadakuditi
2015	Misc	`conf`	Random matrix theory inspired passive bistatic radar detection with noisy reference signal. ICASSP Sandeep Gogineni, Pawan Setlur, Muralidhar Rangaswamy, Raj Rao Nadakuditi
2014	J	`jnl`	Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times. CoRR Jinho Baik, Raj Rao Nadakuditi
2014	J	`jnl`	Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times. Queueing Syst. Theory Appl. Jinho Baik, Raj Rao Nadakuditi
2014	—	`conf`	Improved Robust PCA using low-rank denoising with optimal singular value shrinkage. SSP Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2014	J	`jnl`	OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage. IEEE Trans. Inf. Theory Raj Rao Nadakuditi
2014	Misc	`conf`	Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices. ACSSC Himanshu Nayar, Raj Rao Nadakuditi
2013	J	`jnl`	On bottleneck analysis in stochastic stream processing. ACM Trans. Design Autom. Electr. Syst. Raj Rao Nadakuditi, Igor L. Markov
2013	J	`jnl`	Optimally weighted recovery of a low-rank signal matrix from a high-dimensional signal-plus-noise matrix. CoRR Raj Rao Nadakuditi
2013	J	`jnl`	Spectra of random graphs with community structure and arbitrary degrees. CoRR Xiao Zhang, Raj Rao Nadakuditi, Mark E. J. Newman
2013	J	`jnl`	The Performance of a Matched Subspace Detector That Uses Subspaces Estimated From Finite, Noisy, Training Data. IEEE Trans. Signal Process. Nicholas Asendorf, Raj Rao Nadakuditi
2013	J	`jnl`	When are the most informative components for inference also the principal components? CoRR Raj Rao Nadakuditi
2012	—	`conf`	An iterative, backscatter-analysis based algorithm for increasing transmission through a highly-backscattering random medium. SSP Curtis Jin, Raj Rao Nadakuditi, Eric Michielssen, Stephen Rand
2012	J	`jnl`	Graph spectra and the detectability of community structure in networks CoRR Raj Rao Nadakuditi, M. E. J. Newman
2012	—	`conf`	On hard limits of eigen-analysis based planted clique detection. SSP Raj Rao Nadakuditi
2012	J	`jnl`	Spectra of random graphs with arbitrary expected degrees CoRR Raj Rao Nadakuditi, M. E. J. Newman
2012	—	`conf`	The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data. SSP Nicholas Asendorf, Raj Tejas Suryaprakash, Raj Rao Nadakuditi
2012	—	`conf`	The performance of music-based DOA in white noise with missing data. SSP Raj Tejas Suryaprakash, Raj Rao Nadakuditi
2012	J	`jnl`	The singular values and vectors of low rank perturbations of large rectangular random matrices. J. Multivar. Anal. Florent Benaych-Georges, Raj Rao Nadakuditi
2011	—	`conf`	Exploiting random matrix theory to improve noisy low-rank matrix approximation. ACSCC Raj Rao Nadakuditi
2011	—	`conf`	Improving and characterizing the performance of stochastic matched subspace detectors when using noisy estimated subspaces. ACSCC Nicholas Asendorf, Raj Rao Nadakuditi
2011	Misc	`conf`	Latency-optimizing file splitting for transmission over a large multi-hop network. ITA Raj Rao Nadakuditi, Mingyan Liu
2011	—	`conf`	Misaligned Principal Components Analysis: Application to gene expression time series analysis. ACSCC Arnau Tibau Puig, Ami Wiesel, Raj Rao Nadakuditi, Alfred O. Hero III
2008	J	`jnl`	Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples. IEEE Trans. Signal Process. Raj Rao Nadakuditi, Alan Edelman
2006	—	`—`	Applied stochastic Eigen-analysis. Raj Rao Nadakuditi