Raj Rao Nadakuditi

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 35

Top Venues

CoRR

ACSSC

GlobalSIP

IEEE Trans. Computational Imaging

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Raj Rao Nadakuditi, Hao Wu
Free Component Analysis: Theory, Algorithms and Applications. Found. Comput. Math. 23 (3) (2023)
Charles Bordenave, Simon Coste, Raj Rao Nadakuditi
Detection Thresholds in Very Sparse Matrix Completion. Found. Comput. Math. 23 (5) (2023)
Rishi Sonthalia, Raj Rao Nadakuditi
Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise. Trans. Mach. Learn. Res. 2023 (2023)
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. IEEE Trans. Computational Imaging 6 (2020)
Arvind Prasadan, Raj Rao Nadakuditi
Time Series Source Separation Using Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 19 (2) (2020)
Hao Wu, Raj Rao Nadakuditi
Free Component Analysis: Theory, Algorithms & Applications. CoRR (2019)
M. E. J. Newman, Xiao Zhang, Raj Rao Nadakuditi
Spectra of random networks with arbitrary degrees. CoRR (2019)
Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video. IEEE Trans. Computational Imaging 5 (2) (2019)
Arvind Prasadan, Raj Rao Nadakuditi
Time Series Source Separation using Dynamic Mode Decomposition. CoRR (2019)
Arvind Prasadan, Asad Lodhia, Raj Rao Nadakuditi
Phase Transitions in the Dynamic Mode Decomposition Algorithm. CAMSAP (2019)
Arvind Prasadan, Raj Rao Nadakuditi, Debashis Paul
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting. CoRR (2019)
Andrew John Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Photometric Stereo via Dictionary Learning. IEEE Trans. Computational Imaging 5 (2) (2019)
Moussa N'Gom, Theodore B. Norris, Eric Michielssen, Raj Rao Nadakuditi
Reference-less Method for Computing the Transmission Matrix of a Multimode Fiber. OFC (2018)
Arvind Prasadan, Raj Rao Nadakuditi
The Finite Sample Performance of Dynamic Mode Decomposition. GlobalSIP (2018)
Sandeep Gogineni, Pawan Setlur, Muralidhar Rangaswamy, Raj Rao Nadakuditi
Passive Radar Detection With Noisy Reference Channel Using Principal Subspace Similarity. IEEE Trans. Aerosp. Electron. Syst. 54 (1) (2018)
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. CoRR (2018)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust photometric stereo using learned image and gradient dictionaries. ICIP (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization. CoRR (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust surface reconstruction from gradients via adaptive dictionary regularization. ICIP (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Photometric Stereo Using Learned Image and Gradient Dictionaries. CoRR (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Photometric Stereo via Dictionary Learning. CoRR (2017)
Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
Augmented robust PCA for foreground-background separation on noisy, moving camera video. GlobalSIP (2017)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient online dictionary adaptation and image reconstruction for dynamic MRI. ACSSC (2017)
Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video. CoRR (2017)
Nicholas Asendorf, Raj Rao Nadakuditi
Improved Detection of Correlated Signals in Low-Rank-Plus-Noise Type Data Sets Using Informative Canonical Correlation Analysis (ICCA). IEEE Trans. Inf. Theory 63 (6) (2017)
Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video. CoRR (2017)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. IEEE Trans. Medical Imaging 36 (5) (2017)
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems. IEEE Trans. Computational Imaging 3 (4) (2017)
Hao Wu, Raj Rao Nadakuditi
Free component analysis. ACSSC (2016)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient learning of dictionaries with low-rank atoms. GlobalSIP (2016)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. IVMSP (2016)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. CoRR (2016)
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Sum of outer products dictionary learning for inverse problems. GlobalSIP (2016)
Sandeep Gogineni, Pawan Setlur, Muralidhar Rangaswamy, Raj Rao Nadakuditi
Comparison of passive radar detectors with noisy reference signal. SSP (2016)
Brian E. Moore, Raj Rao Nadakuditi
Robust PCA: Low rank matrix estimation with hard or soft thresholding-based outlier rejection. GlobalSIP (2016)
Nicholas Asendorf, Raj Rao Nadakuditi
Fundamental limits of singular value based signal detection from randomly compressed signal-plus-noise matrices. ACSSC (2015)
Himanshu Nayar, Raj Rao Nadakuditi
OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices. FUSION (2015)
Nicholas Asendorf, Raj Rao Nadakuditi
Improved estimation of canonical vectors in canonical correlation analysis. ACSSC (2015)
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method. CoRR (2015)
Raj Tejas Suryaprakash, Raj Rao Nadakuditi
Consistency and MSE Performance of MUSIC-Based DOA of a Single Source in White Noise With Randomly Missing Data. IEEE Trans. Signal Process. 63 (18) (2015)
Raj Tejas Suryaprakash, Brian E. Moore, Raj Rao Nadakuditi
Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors. ICASSP (2015)
Sandeep Gogineni, Pawan Setlur, Muralidhar Rangaswamy, Raj Rao Nadakuditi
Random matrix theory inspired passive bistatic radar detection with noisy reference signal. ICASSP (2015)
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL). CoRR (2015)
Raj Tejas Suryaprakash, Raj Rao Nadakuditi
Algorithms for estimation of low-rank matrices with triple Kronecker structured singular vectors. CAMSAP (2015)
Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda S. Caceres, Steven Thomas Smith, Raj Rao Nadakuditi
Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. ACSSC (2015)
Nicholas Asendorf, Raj Rao Nadakuditi
Improving multiset canonical correlation analysis in high dimensional sample deficient settings. ACSSC (2015)
Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Improved Robust PCA using low-rank denoising with optimal singular value shrinkage. SSP (2014)
Himanshu Nayar, Raj Rao Nadakuditi
Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices. ACSSC (2014)
Jinho Baik, Raj Rao Nadakuditi
Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times. Queueing Syst. Theory Appl. 78 (3) (2014)
Raj Rao Nadakuditi
OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage. IEEE Trans. Inf. Theory 60 (5) (2014)
Jinho Baik, Raj Rao Nadakuditi
Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times. CoRR (2014)
Raj Rao Nadakuditi, Igor L. Markov
On bottleneck analysis in stochastic stream processing. ACM Trans. Design Autom. Electr. Syst. 18 (3) (2013)
Nicholas Asendorf, Raj Rao Nadakuditi
The Performance of a Matched Subspace Detector That Uses Subspaces Estimated From Finite, Noisy, Training Data. IEEE Trans. Signal Process. 61 (8) (2013)
Raj Rao Nadakuditi
Optimally weighted recovery of a low-rank signal matrix from a high-dimensional signal-plus-noise matrix. CoRR (2013)
Raj Rao Nadakuditi
When are the most informative components for inference also the principal components? CoRR (2013)
Xiao Zhang, Raj Rao Nadakuditi, Mark E. J. Newman
Spectra of random graphs with community structure and arbitrary degrees. CoRR (2013)
Florent Benaych-Georges, Raj Rao Nadakuditi
The singular values and vectors of low rank perturbations of large rectangular random matrices. J. Multivar. Anal. 111 (2012)
Raj Rao Nadakuditi, M. E. J. Newman
Spectra of random graphs with arbitrary expected degrees CoRR (2012)
Raj Rao Nadakuditi, M. E. J. Newman
Graph spectra and the detectability of community structure in networks CoRR (2012)
Raj Rao Nadakuditi
On hard limits of eigen-analysis based planted clique detection. SSP (2012)
Curtis Jin, Raj Rao Nadakuditi, Eric Michielssen, Stephen Rand
An iterative, backscatter-analysis based algorithm for increasing transmission through a highly-backscattering random medium. SSP (2012)
Raj Tejas Suryaprakash, Raj Rao Nadakuditi
The performance of music-based DOA in white noise with missing data. SSP (2012)
Nicholas Asendorf, Raj Tejas Suryaprakash, Raj Rao Nadakuditi
The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data. SSP (2012)
Raj Rao Nadakuditi
Exploiting random matrix theory to improve noisy low-rank matrix approximation. ACSCC (2011)
Nicholas Asendorf, Raj Rao Nadakuditi
Improving and characterizing the performance of stochastic matched subspace detectors when using noisy estimated subspaces. ACSCC (2011)
Arnau Tibau Puig, Ami Wiesel, Raj Rao Nadakuditi, Alfred O. Hero III
Misaligned Principal Components Analysis: Application to gene expression time series analysis. ACSCC (2011)
Raj Rao Nadakuditi, Mingyan Liu
Latency-optimizing file splitting for transmission over a large multi-hop network. ITA (2011)
Raj Rao Nadakuditi, Alan Edelman
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples. IEEE Trans. Signal Process. 56 (7-1) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raj Rao Nadakuditi