Chandra Sekhar Seelamantula

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All published works

Action	Title	Year	Authors
+ PDF Chat	Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices	2024	Kartheek Kumar Reddy Nareddy Abijith Jagannath Kamath Chandra Sekhar Seelamantula
+	Method of Alternating Proximations for Solving Linear Inverse Problems	2024	Abijith Jagannath Kamath Nareddy Kartheek Kumar Reddy Chandra Sekhar Seelamantula
+ PDF Chat	Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training	2023	Siddarth Asokan Chandra Sekhar Seelamantula
+	Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training	2023	Siddarth Asokan Chandra Sekhar Seelamantula
+	Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are	2023	Siddarth Asokan Chandra Sekhar Seelamantula
+	GANs Settle Scores!	2023	Siddarth Asokan Nishanth Shetty A Srikanth Chandra Sekhar Seelamantula
+	Neuromorphic Sampling of Signals in Shift-Invariant Spaces	2023	Abijith Jagannath Kamath Chandra Sekhar Seelamantula
+	Tight-frame-like Analysis-Sparse Recovery Using Non-tight Sensing Matrices	2023	Kartheek Kumar Reddy Nareddy Abijith Jagannath Kamath Chandra Sekhar Seelamantula
+	Neuromorphic Sampling of Sparse Signals	2023	Abijith Jagannath Kamath Chandra Sekhar Seelamantula
+	Learning Generative Prior with Latent Space Sparsity Constraints.	2021	Vinayak Killedar Praveen Kumar Pokala Chandra Sekhar Seelamantula
+	Quantized Proximal Averaging Network for Analysis Sparse Coding.	2021	Kartheek Kumar Reddy Nareddy Mani Madhoolika Bulusu Praveen Kumar Pokala Chandra Sekhar Seelamantula
+	NuSPAN: A Proximal Average Network for Nonuniform Sparse Model - Application to Seismic Reflectivity Inversion.	2021	Swapnil Mache Praveen Kumar Pokala Kusala Rajendran Chandra Sekhar Seelamantula
+	DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network	2021	Swapnil Mache Praveen Kumar Pokala Kusala Rajendran Chandra Sekhar Seelamantula
+	Time Encoding of Finite-Rate-of-Innovation Signals	2021	Abijith Jagannath Kamath Sunil Rudresh Chandra Sekhar Seelamantula
+	Wavelet Design in a Learning Framework	2021	Dhruv Jawali Abhishek Kumar Chandra Sekhar Seelamantula
+	Quantized Proximal Averaging Network for Analysis Sparse Coding	2021	Kartheek Kumar Reddy Nareddy Mani Madhoolika Bulusu Praveen Kumar Pokala Chandra Sekhar Seelamantula
+	NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion	2021	Swapnil Mache Praveen Kumar Pokala Kusala Rajendran Chandra Sekhar Seelamantula
+	Learning Generative Prior with Latent Space Sparsity Constraints	2021	Vinayak Killedar Praveen Kumar Pokala Chandra Sekhar Seelamantula
+	Teaching a GAN What Not to Learn	2020	Siddarth Asokan Chandra Sekhar Seelamantula
+ PDF Chat	Quantization-aware phase retrieval	2020	Subhadip Mukherjee Chandra Sekhar Seelamantula
+	A Time-Based Sampling Framework for Finite-Rate-of-Innovation Signals	2020	Sunil Rudresh Abijith Jagannath Kamath Chandra Sekhar Seelamantula
+ PDF Chat	Signal denoising using the minimum-probability-of-error criterion	2020	Jishnu Sadasivan Subhadip Mukherjee Chandra Sekhar Seelamantula
+	Robust Segmentation of Optic Disc and Cup from Fundus Images Using Deep Neural Networks	2020	Aniketh Manjunath Subramanya Jois Chandra Sekhar Seelamantula
+	Teaching a GAN What Not to Learn	2020	Siddarth Asokan Chandra Sekhar Seelamantula
+	Generalized Design of Sampling Kernels for 2-D FRI Signals	2019	Saurav K. Shastri Sunil Rudresh Chandra Sekhar Seelamantula
+	Unlimited Dynamic Range Analog-to-Digital Conversion	2019	Adithya Krishna Sunil Rudresh Vishal Shaw Hemanth Sabbella Chandra Sekhar Seelamantula Chetan Singh Thakur
+	Generalized Design of Sampling Kernels for 2-D FRI Signals	2019	Saurav K. Shastri Sunil Rudresh Chandra Sekhar Seelamantula
+	Quantization-Aware Phase Retrieval	2018	Subhadip Mukherjee Chandra Sekhar Seelamantula
+ PDF Chat	Phase Retrieval From Binary Measurements	2018	Subhadip Mukherjee Chandra Sekhar Seelamantula
+	Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals	2018	Sunil Rudresh Aditya Vasisht Karthika Vijayan Chandra Sekhar Seelamantula
+	Quantization-Aware Phase Retrieval	2018	Subhadip Mukherjee Chandra Sekhar Seelamantula
+	PROSE: Perceptual Risk Optimization for Speech Enhancement.	2017	Jishnu Sadasivan Chandra Sekhar Seelamantula Nagarjuna Reddy Muraka
+	An Alternating Minimization Strategy for Sparse Blind Deconvolution - Convergence Analysis and Concentration Inequalities.	2017	Aniruddha Adiga Chandra Sekhar Seelamantula
+	Time-Frequency Coherence for Periodic-Aperiodic Decomposition of Speech Signals	2017	Karthika Vijayan Jitendra Kumar Dhiman Chandra Sekhar Seelamantula
+	Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging.	2017	Subhadip Mukherjee R U Deepak Huaijin Chen Ashok Veeraraghavan Chandra Sekhar Seelamantula
+	Deep Sparse Coding Using Optimized Linear Expansion of Thresholds	2017	Debabrata Mahapatra Subhadip Mukherjee Chandra Sekhar Seelamantula
+	A Non-Convex Optimization Technique for Sparse Blind Deconvolution -- Initialization Aspects and Error Reduction Properties	2017	Aniruddha Adiga Chandra Sekhar Seelamantula
+	Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging	2017	Subhadip Mukherjee R. Deepak Huaijin Chen Ashok Veeraraghavan Chandra Sekhar Seelamantula
+	PROSE: Perceptual Risk Optimization for Speech Enhancement	2017	Jishnu Sadasivan Chandra Sekhar Seelamantula Nagarjuna Reddy Muraka
+ PDF Chat	A risk minimization framework for channel estimation in OFDM systems	2016	Karthik Upadhya Chandra Sekhar Seelamantula K.V.S. Hari
+	Sampling and reconstruction of time-limited signals using sum-of-sincs kernel	2016	Satish Mulleti Chandra Sekhar Seelamantula
+	Super-Resolution From Binary Measurements With Unknown Threshold	2016	Subhadip Mukherjee Anjany Sekuboyina Chandra Sekhar Seelamantula
+ PDF Chat	Directional bilateral filters	2015	Manasij Venkatesh Chandra Sekhar Seelamantula
+	A Risk Minimization Framework for Channel Estimation in OFDM Systems	2014	Karthik Upadhya Chandra Sekhar Seelamantula K.V.S. Hari
+	A Robust Dictionary Learning Algorithm for Image Denoising.	2014	Subhadip Mukherjee Rupam Basu Chandra Sekhar Seelamantula
+	Spatially Adaptive Kernel Regression Using Risk Estimation	2014	Sunder Ram Krishnan Chandra Sekhar Seelamantula Purvasha Chakravarti
+	Risk Estimation Without Using Stein's Lemma -- Application to Image Denoising	2014	Sagar Gubbi Chandra Sekhar Seelamantula
+	A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation	2014	Subhadip Mukherjee Chandra Sekhar Seelamantula
+	$\ell_1$-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous Update	2014	Subhadip Mukherjee Rupam Basu Chandra Sekhar Seelamantula
+	A Risk Minimization Framework for Channel Estimation in OFDM Systems	2014	Karthik Upadhya Chandra Sekhar Seelamantula K. V. S. Hari
+	Fractional Hilbert transform extensions and associated analytic signal construction	2013	Arun Venkitaraman Chandra Sekhar Seelamantula
+	Template-Based Active Contours	2013	Jayanth Krishna Mogali Adithya Pediredla Chandra Sekhar Seelamantula
+	A multichannel sampling method for 2-D finite-rate-of-innovation signals	2013	Satish Mulleti Basty Ajay Shenoy Chandra Sekhar Seelamantula
+	SURE-Optimal Bandwidth Selection in Nonparametric Regression	2012	Sunder Ram Krishnan Chandra Sekhar Seelamantula

Common Coauthors

Coauthor	Papers Together
Subhadip Mukherjee	10
Praveen Kumar Pokala	7
Abijith Jagannath Kamath	7
Siddarth Asokan	6
Sunil Rudresh	6
Kartheek Kumar Reddy Nareddy	4
Swapnil Mache	3
Jishnu Sadasivan	3
Kusala Rajendran	3
Karthik Upadhya	3
Subhadip Mukherjee	2
Karthika Vijayan	2
Nagarjuna Reddy Muraka	2
Huaijin Chen	2
Vinayak Killedar	2
Sunder Ram Krishnan	2
Saurav K. Shastri	2
K.V.S. Hari	2
Mani Madhoolika Bulusu	2
Rupam Basu	2
Ashok Veeraraghavan	2
Satish Mulleti	2
Aniruddha Adiga	2
Nishanth Shetty	1
Hemanth Sabbella	1
R U Deepak	1
Jitendra Kumar Dhiman	1
Purvasha Chakravarti	1
Manasij Venkatesh	1
K. V. S. Hari	1
Basty Ajay Shenoy	1
Adithya Pediredla	1
Subramanya Jois	1
Debabrata Mahapatra	1
Vishal Shaw	1
Jayanth Krishna Mogali	1
Aditya Vasisht	1
Sagar Gubbi	1
R. Deepak	1
Abhishek Kumar	1
Aniketh Manjunath	1
Adithya Krishna	1
Arun Venkitaraman	1
Dhruv Jawali	1
Chetan Singh Thakur	1
Anjany Sekuboyina	1
Nareddy Kartheek Kumar Reddy	1
A Srikanth	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimation of the Mean of a Multivariate Normal Distribution	1981	Charles Stein	8
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	6
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	6
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	6
+ PDF Chat	Sampling signals with finite rate of innovation	2002	Martin Vetterli Pina Marziliano Thierry Blu	6
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	5
+ PDF Chat	Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging	2011	Ronen Tur Yonina C. Eldar Zvi Friedman	5
+	Adapting to Unknown Smoothness via Wavelet Shrinkage	1995	David L. Donoho Iain M. Johnstone	5
+ PDF Chat	Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang–Fix	2007	Pier Luigi Dragotti Martin Vetterli Thierry Blu	5
+ PDF Chat	Iteratively reweighted least squares minimization for sparse recovery	2009	Ingrid Daubechies Ronald DeVore Massimo Fornasier C. Sınan Güntürk	5
+ PDF Chat	ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing	2018	Jian Zhang Bernard Ghanem	5
+ PDF Chat	Enhancing Sparsity by Reweighted ℓ 1 Minimization	2008	Emmanuel J. Candès Michael B. Wakin Stephen Boyd	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	4
+ PDF Chat	Sampling-50 years after Shannon	2000	Michaël Unser	4
+ PDF Chat	Phase Retrieval Using Alternating Minimization	2015	Praneeth Netrapalli Prateek Jain Sujay Sanghavi	4
+	Measurement and Reconstruction of Impulse Train by Parallel Exponential Filters	2008	H. Olkkonen Jaakko Olkkonen	3
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	3
+	Phase recovery, MaxCut and complex semidefinite programming	2013	Irène Waldspurger Alexandre d’Aspremont Stéphane Mallat	3
+ PDF Chat	A SURE Approach for Digital Signal/Image Deconvolution Problems	2009	Jean‐Christophe Pesquet Amel Benazza-Benyahia Caroline Chaux	3
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	3
+ PDF Chat	Phase Retrieval via Matrix Completion	2013	Emmanuel J. Candès Yonina C. Eldar Thomas Strohmer Vladislav Voroninski	3
+ PDF Chat	Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	2021	Vishal Monga Yuelong Li Yonina C. Eldar	3
+ PDF Chat	Splines: a perfect fit for signal and image processing	1999	Michaël Unser	3
+ PDF Chat	Reconstruction of Signals from Magnitudes of Redundant Representations: The Complex Case	2015	Radu Bălan	3
+ PDF Chat	Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization	2002	Heinz H. Bauschke Patrick L. Combettes D. Lüke	3
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	3
+	Sparse Regularization via Convex Analysis	2017	Ivan Selesnick	3
+	AMP-Inspired Deep Networks for Sparse Linear Inverse Problems	2017	Mark Borgerding Philip Schniter Sundeep Rangan	3
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Detection of Glottal Closure Instants From Speech Signals: A Quantitative Review	2011	Thomas Drugman Mark R. Thomas Jón Guðnason Patrick A. Naylor Thierry Dutoit	3
+	Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing	2011	Yoav Shechtman Yonina C. Eldar Alexander Szameit Mordechai Segev	3
+ PDF Chat	Undersampled Sparse Phase Retrieval via Majorization–Minimization	2017	Tianyu Qiu Daniel P. Palomar	3
+ PDF Chat	PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming	2012	Emmanuel J. Candès Thomas Strohmer Vladislav Voroninski	3
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	3
+	Quantile Regression via an MM Algorithm	2000	David R. Hunter Kenneth Lange	2
+	One-bit compressed sensing by linear programming	2011	Yaniv Plan Roman Vershynin	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+ PDF Chat	Robust Recovery of Signals From a Structured Union of Subspaces	2009	Yonina C. Eldar Moshe Mishali	2
+	The Variance Gamma (V.G.) Model for Share Market Returns	1990	Dilip B. Madan E. Seneta	2
+ PDF Chat	Blind Deconvolution Using Convex Programming	2014	Ali Ahmed Benjamin Recht Justin Romberg	2
+ PDF Chat	Sparse Signal Estimation by Maximally Sparse Convex Optimization	2014	Ivan Selesnick İlker Bayram	2
+ PDF Chat	Generalized SURE for Exponential Families: Applications to Regularization	2008	Yonina C. Eldar	2
+	Compressive Phase Retrieval From Squared Output Measurements Via Semidefinite Programming	2012	Henrik Ohlsson Allen Y. Yang Roy Dong Shankar Sastry	2
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	2
+	Compressed sensing with coherent and redundant dictionaries	2010	Emmanuel J. Candès Yonina C. Eldar Deanna Needell Paige Randall	2
+ PDF Chat	Low-rank matrix completion using alternating minimization	2013	Prateek Jain Praneeth Netrapalli Sujay Sanghavi	2
+	Exact Reconstruction of Sparse Signals via Nonconvex Minimization	2007	Rick Chartrand	2
+ PDF Chat	Nonuniform Sampling and Reconstruction in Shift-Invariant Spaces	2001	Akram Aldroubi Karlheinz Gröchenig	2