Sergey Voronin

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All published works

Action	Title	Year	Authors
+ PDF Chat	Introduction to Numerical Approaches for Forward and Inverse Heat Transfer Problems	2020	Sergey Voronin
+ PDF Chat	Randomized Matrix Decompositions Using <i>R</i>	2019	N. Benjamin Erichson Sergey Voronin Steven L. Brunton J. Nathan Kutz
+ PDF Chat	Survey of Computational Methods for Inverse Problems	2018	Sergey Voronin Christophe Zaroli
+ PDF Chat	Conjugate gradient based acceleration for inverse problems	2017	Sergey Voronin Christophe Zaroli Naresh P. Cuntoor
+ PDF Chat	An iteratively reweighted least squares algorithm for sparse regularization	2017	Sergey Voronin Ingrid Daubechies
+ PDF Chat	Efficient algorithms for cur and interpolative matrix decompositions	2016	Sergey Voronin Per‐Gunnar Martinsson
+ PDF Chat	A Randomized Blocked Algorithm for Efficiently Computing Rank-revealing Factorizations of Matrices	2016	Per‐Gunnar Martinsson Sergey Voronin
+ PDF Chat	Compression approaches for the regularized solutions of linear systems from large-scale inverse problems	2015	Sergey Voronin T. Dylan Mikesell Guust Nolet
+	Compression approaches for the regularized solutions of linear systems from large-scale inverse problems	2015	Sergey Voronin T. Dylan Mikesell Guust Nolet
+	A randomized blocked algorithm for efficiently computing rank-revealing factorizations of matrices	2015	Per‐Gunnar Martinsson Sergey Voronin
+	RSVDPACK: An implementation of randomized algorithms for computing the singular value, interpolative, and CUR decompositions of matrices on multi-core and GPU architectures	2015	Sergey Voronin Per‐Gunnar Martinsson
+	RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures	2015	Sergey Voronin Per‐Gunnar Martinsson
+	RSVDPACK: An implementation of randomized algorithms for computing the singular value, interpolative, and CUR decompositions of matrices on multi-core and GPU architectures	2015	Sergey Voronin Per‐Gunnar Martinsson
+	A randomized blocked algorithm for efficiently computing rank-revealing factorizations of matrices	2015	Per‐Gunnar Martinsson Sergey Voronin
+	An Iteratively Reweighted Least Squares Algorithm for Sparse Regularization	2015	Sergey Voronin Ingrid Daubechies
+	Efficient Algorithms for CUR and Interpolative Matrix Decompositions	2014	Sergey Voronin Per‐Gunnar Martinsson
+	A CUR Factorization Algorithm based on the Interpolative Decomposition.	2014	Sergey Voronin Per‐Gunnar Martinsson
+	Gradient Based Methods for Non-Smooth Regularization Via Convolution Smoothing	2014	Sergey Voronin Davis Yoshida
+	Convolution based smooth approximations to the absolute value function with application to non-smooth regularization	2014	Sergey Voronin Gorkem Ozkaya Davis Yoshida
+	Efficient Algorithms for CUR and Interpolative Matrix Decompositions	2014	Sergey Voronin Per‐Gunnar Martinsson
+	A new generalized thresholding algorithm for inverse problems with sparsity constraints	2013	Sergey Voronin Rick Chartrand
+	Regularized Solutions for Very Large Linear Systems from Geotomography	2013	Sergey Voronin Guust Nolet Jean Charléty T. Dylan Mikesell
+	A new iterative firm-thresholding algorithm for inverse problems with sparsity constraints	2012	Sergey Voronin Hugo J. Woerdeman
+	Regularization of Linear Systems with Sparsity Constraints with Applications to Large Scale Inverse Problems	2012	Sergey Voronin
+	Thom's Problem for Degenerate Singular Points of Holomorphic Foliations in the Plane	2012	Laura Ortiz-Bobadilla E. Rosales‐González Sergey Voronin
+ PDF Chat	Solving or resolving global tomographic models with spherical wavelets, and the scale and sparsity of seismic heterogeneity	2011	Frederik J. Simons Ignace Loris Guust Nolet Ingrid Daubechies Sergey Voronin Jamie Judd Philip A. Vetter Jean Charléty Cédric Vonesch
+	Solving or resolving global tomographic models with spherical wavelets, and the scale and sparsity of seismic heterogeneity	2011	Frederik J. Simons Ignace Loris Guust Nolet Ingrid C. Daubechies Sergey Voronin Jamie Judd Philip A. Vetter Jean Charléty Cédric Vonesch

Common Coauthors

Coauthor	Papers Together
Per‐Gunnar Martinsson	10
Guust Nolet	5
Jean Charléty	3
T. Dylan Mikesell	3
Ingrid Daubechies	2
Philip A. Vetter	2
Christophe Zaroli	2
Jamie Judd	2
Ignace Loris	2
Davis Yoshida	2
Cédric Vonesch	2
Frederik J. Simons	2
Naresh P. Cuntoor	1
Steven L. Brunton	1
Laura Ortiz-Bobadilla	1
Ingrid C. Daubechies	1
Ingrid Daubechies	1
J. Nathan Kutz	1
Gorkem Ozkaya	1
E. Rosales‐González	1
Rick Chartrand	1
Hugo J. Woerdeman	1
N. Benjamin Erichson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	10
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	9
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	9
+	A Randomized Algorithm for the Approximation of Matrices	2006	Per‐Gunnar Martinsson Vladimir Rockhlin Mark Tygert	6
+ PDF Chat	A Randomized Algorithm for Principal Component Analysis	2009	Vladimir Rokhlin Arthur Szlam Mark Tygert	5
+	Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling	2013	Shusen Wang Zhihua Zhang	5
+ PDF Chat	Efficient Algorithms for Computing a Strong Rank-Revealing QR Factorization	1996	Ming Gu Stanley C. Eisenstat	5
+	RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures	2015	Sergey Voronin Per‐Gunnar Martinsson	4
+	For most large underdetermined systems of linear equations the minimal 𝓁<sub>1</sub>‐norm solution is also the sparsest solution	2006	David L. Donoho	4
+ PDF Chat	LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares	1982	Christopher C. Paige Michael A. Saunders	4
+ PDF Chat	CUR matrix decompositions for improved data analysis	2009	Michael W. Mahoney Petros Drineas	4
+ PDF Chat	Relative-Error $CUR$ Matrix Decompositions	2008	Petros Drineas Michael W. Mahoney S. Muthukrishnan	3
+	The L-curve and its use in the numerical treatment of inverse problems	2000	Per Christian Hansen	3
+	The conjugate gradient method in extremal problems	1969	B. T. Polyak	3
+ PDF Chat	Note sur la convergence de méthodes de directions conjuguées	1969	E. Polak G. Ribière	3
+ PDF Chat	Iteratively reweighted least squares minimization for sparse recovery	2009	Ingrid Daubechies Ronald DeVore Massimo Fornasier C. Sınan Güntürk	3
+ PDF Chat	Solving or resolving global tomographic models with spherical wavelets, and the scale and sparsity of seismic heterogeneity	2011	Frederik J. Simons Ignace Loris Guust Nolet Ingrid Daubechies Sergey Voronin Jamie Judd Philip A. Vetter Jean Charléty Cédric Vonesch	3
+	An Introduction to the Conjugate Gradient Method Without the Agonizing Pain	1994	Jonathan Richard Shewchuk	3
+	Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables	1965	D. B. Owen Milton Abramowitz Irene A. Stegun	3
+ PDF Chat	The Hat Matrix in Regression and ANOVA	1978	David C. Hoaglin Roy E. Welsch	3
+	Regularization of Inverse Problems	1996	Heinz W. Engl Martin Hanke Andreas B. Neubauer	3
+	A randomized algorithm for the decomposition of matrices	2010	Per‐Gunnar Martinsson Vladimir Rokhlin Mark Tygert	3
+	Compressed sensing	2006	David L. Donoho	2
+	Biorthogonal bases of compactly supported wavelets	1992	Albert Cohen Ingrid Daubechies Jean-Christophe Feauveau	2
+	Iterative hard thresholding for compressed sensing	2009	Thomas Blumensath Mike E. Davies	2
+	A new iterative firm-thresholding algorithm for inverse problems with sparsity constraints	2012	Sergey Voronin Hugo J. Woerdeman	2
+	Optimal CUR Matrix Decompositions	2014	Christos Boutsidis David P. Woodruff	2
+ PDF Chat	Randomized QR with Column Pivoting	2017	Jed A. Duersch Ming Gu	2
+	A fast randomized algorithm for the approximation of matrices	2007	Franco Woolfe Edo Liberty Vladimir Rokhlin Mark Tygert	2
+ PDF Chat	Tomographic inversion using ℓ<sub>1</sub>-norm regularization of wavelet coefficients	2007	Ignace Loris Guust Nolet Ingrid Daubechies F. A. Dahlen	2
+ PDF Chat	An iteratively reweighted least squares algorithm for sparse regularization	2017	Sergey Voronin Ingrid Daubechies	2
+	Convolution based smooth approximations to the absolute value function with application to non-smooth regularization	2014	Sergey Voronin Gorkem Ozkaya Davis Yoshida	2
+ PDF Chat	A DEIM Induced CUR Factorization	2015	D. C. Sorensen Mark Embree	2
+	RSVDPACK: An implementation of randomized algorithms for computing the singular value, interpolative, and CUR decompositions of matrices on multi-core and GPU architectures	2015	Sergey Voronin Per‐Gunnar Martinsson	2
+	Gradient methods for minimizing composite objective function	2007	Yu. Nesterov	2
+ PDF Chat	Randomized algorithms for the low-rank approximation of matrices	2007	Edo Liberty Franco Woolfe Per‐Gunnar Martinsson Vladimir Rokhlin Mark Tygert	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+	On Bounds for the Normal Integral	1955	John T. Chu	2
+ PDF Chat	Accelerating gradient projection methods for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msub><mml:mi>ℓ</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math>-constrained signal recovery by steplength selection rules	2009	Ignace Loris M. Bertero Christine De Mol Riccardo Zanella Luca Zanni	2
+ PDF Chat	Conjugate gradient acceleration of iteratively re-weighted least squares methods	2016	Massimo Fornasier Steffen Peter Holger Rauhut Stephan Worm	2
+ PDF Chat	A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed $\ell ^{0}$ Norm	2008	Hosein Mohimani Massoud Babaie‐Zadeh Christian Jutten	2
+ PDF Chat	Orthonormal bases of compactly supported wavelets	1988	Ingrid Daubechies	2
+	An Iteration Formula for Fredholm Integral Equations of the First Kind	1951	L. Landweber	2
+ PDF Chat	Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems	2009	Amir Beck Marc Teboulle	2
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+	A new generalized thresholding algorithm for inverse problems with sparsity constraints	2013	Sergey Voronin Rick Chartrand	2
+	A theory of pseudoskeleton approximations	1997	S. A. Goreinov Е. Е. Тыртышников Н. Л. Замарашкин	2
+	Regularization of Linear Systems with Sparsity Constraints with Applications to Large Scale Inverse Problems	2012	Sergey Voronin	2
+	Interpolatory Band-Limited Wavelet Bases on the Sphere	2005	Noemí Laín Fernández Jürgen Prestin	1
+	From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images	2009	Alfred M. Bruckstein⋆ David L. Donoho Michael Elad	1