Misha Elena Kilmer

According to our database, Misha Elena Kilmer authored at least 58 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multigrid Preconditioning for Regularized Least-Squares Problems.

Matthias Bolten, Misha E. Kilmer, Scott P. MacLachlan

SIAM J. Sci. Comput., 2024

Stable tensor neural networks for efficient deep learning.

Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer

Frontiers Big Data, 2024

Tensor Completion with BMD Factor Nuclear Norm Minimization.

Fan Tian, Mirjeta Pasha, Misha E. Kilmer, Eric L. Miller, Abani Patra

CoRR, 2024

2023

Recycling MMGKS for large-scale dynamic and streaming data.

Mirjeta Pasha, Eric de Sturler, Misha E. Kilmer

CoRR, 2023

Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery.

Misha E. Kilmer, Eric de Sturler

CoRR, 2023

Tensor BM-Decomposition for Compression and Analysis of Spatio-Temporal Third-order Data.

Fan Tian, Misha E. Kilmer, Eric L. Miller, Abani Patra

CoRR, 2023

2022

Structured Matrix Approximations via Tensor Decompositions.

Misha E. Kilmer, Arvind K. Saibaba

SIAM J. Matrix Anal. Appl., 2022

Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR).

Ege Ozsar, Misha Elena Kilmer, Eric L. Miller, Eric de Sturler, Arvind K. Saibaba

CoRR, 2022

Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions.

Arvind K. Saibaba, Rachel Minster, Misha E. Kilmer

Adv. Comput. Math., 2022

2021

Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems.

Arvind K. Saibaba, Pranjal Prasad, Eric de Sturler, Eric L. Miller, Misha E. Kilmer

J. Comput. Phys., 2021

Dynamic Graph Convolutional Networks Using the Tensor M-Product.

Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format.

Rachel Minster, Arvind K. Saibaba, Misha E. Kilmer

SIAM J. Math. Data Sci., 2020

Research Spotlights.

Misha E. Kilmer

SIAM Rev., 2020

Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications.

Elizabeth Newman, Misha E. Kilmer

SIAM J. Imaging Sci., 2020

A survey of subspace recycling iterative methods.

Kirk M. Soodhalter, Eric de Sturler, Misha E. Kilmer

CoRR, 2020

Tensor-Tensor Products for Optimal Representation and Compression.

Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman

CoRR, 2020

2019

Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors.

Selin S. Aslan, Eric de Sturler, Misha E. Kilmer

SIAM J. Sci. Comput., 2019

An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction.

Silvia Gazzola, Misha E. Kilmer, James G. Nagy, Oguz Semerci, Eric L. Miller

CoRR, 2019

Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs.

Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron

CoRR, 2019

Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications.

Elizabeth Newman, Misha E. Kilmer

CoRR, 2019

2018

A randomized tensor singular value decomposition based on the t-product.

Jiani Zhang, Arvind K. Saibaba, Misha E. Kilmer, Shuchin Aeron

Numer. Linear Algebra Appl., 2018

Stable Tensor Neural Networks for Rapid Deep Learning.

Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer

CoRR, 2018

2017

Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography.

Meghan O'Connell, Misha E. Kilmer, Eric de Sturler, Serkan Gugercin

SIAM J. Sci. Comput., 2017

Image classification using local tensor singular value decompositions.

Elizabeth Newman, Misha E. Kilmer, Lior Horesh

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Multilinear subspace clustering.

Eric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha E. Kilmer

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015

Nonlinear Parametric Inversion Using Interpolatory Model Reduction.

Eric de Sturler, Serkan Gugercin, Misha Elena Kilmer, Saifon Chaturantabut, Christopher A. Beattie, Meghan O'Connell

SIAM J. Sci. Comput., 2015

Fast Algorithms for Hyperspectral Diffuse Optical Tomography.

Arvind K. Saibaba, Misha Elena Kilmer, Eric L. Miller, Sergio Fantini

SIAM J. Sci. Comput., 2015

A Framework for Regularization via Operator Approximation.

Julianne M. Chung, Misha E. Kilmer, Dianne P. O'Leary

SIAM J. Sci. Comput., 2015

A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction.

Sara Soltani, Misha Elena Kilmer, Per Christian Hansen

CoRR, 2015

2014

Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography.

Oguz Semerci, Ning Hao, Misha Elena Kilmer, Eric L. Miller

IEEE Trans. Image Process., 2014

A Wavelet-Based Multilevel Approach for Blind Deconvolution Problems.

Malena I. Español, Misha Elena Kilmer

SIAM J. Sci. Comput., 2014

Clustering multi-way data: a novel algebraic approach.

Eric Kernfeld, Shuchin Aeron, Misha Elena Kilmer

CoRR, 2014

Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD.

Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging.

Misha Elena Kilmer, Karen S. Braman, Ning Hao, Randy C. Hoover

SIAM J. Matrix Anal. Appl., 2013

Facial Recognition Using Tensor-Tensor Decompositions.

Ning Hao, Misha Elena Kilmer, Karen S. Braman, Randy C. Hoover

SIAM J. Imaging Sci., 2013

Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data.

Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer

CoRR, 2013

Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography.

Oguz Semerci, Ning Hao, Misha Elena Kilmer, Eric L. Miller

CoRR, 2013

2011

Special Section: 2010 Copper Mountain Conference.

Ray Tuminaro, Michele Benzi, Xiao-Chuan Cai, Iain Duff, Howard C. Elman, Roland Freund, Kirk E. Jordan, Tim Kelley, David E. Keyes, Misha Elena Kilmer, Sven Leyffer, Tom Manteuffel, Steve F. McCormick, David J. Silvester, Homer F. Walker

SIAM J. Sci. Comput., 2011

A Regularized Gauss-Newton Trust Region Approach to Imaging in Diffuse Optical Tomography.

Eric de Sturler, Misha Elena Kilmer

SIAM J. Sci. Comput., 2011

Iterative Parameter-Choice and Multigrid Methods for Anisotropic Diffusion Denoising.

D. Chen, Scott P. MacLachlan, Misha E. Kilmer

SIAM J. Sci. Comput., 2011

Parametric Level Set Methods for Inverse Problems.

Alireza Aghasi, Misha Elena Kilmer, Eric L. Miller

SIAM J. Imaging Sci., 2011

2010

Multilevel Approach For Signal Restoration Problems With Toeplitz Matrices.

Malena I. Español, Misha Elena Kilmer

SIAM J. Sci. Comput., 2010

2007

A Projection-Based Approach to General-Form Tikhonov Regularization.

Misha Elena Kilmer, Per Christian Hansen, Malena I. Español

SIAM J. Sci. Comput., 2007

Analysis and Exploitation of Matrix Structure Arising in Linearized Optical Tomographic Imaging.

Damon Hyde, Misha Elena Kilmer, Dana H. Brooks, Eric L. Miller

SIAM J. Matrix Anal. Appl., 2007

Kronecker product approximations for dense block Toeplitz-plus-Hankel matrices.

Misha Elena Kilmer, James G. Nagy

Numer. Linear Algebra Appl., 2007

Fast Regularized Reconstruction of Non-Uniformly Subsampled Partial-Fourier Parallel MRI Data.

William Scott Hoge, Misha Elena Kilmer, Carlos Zacarias-Almarcha, Dana H. Brooks

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Kronecker product approximation for preconditioning in three-dimensional imaging applications.

James G. Nagy, Misha Elena Kilmer

IEEE Trans. Image Process., 2006

Recycling Subspace Information for Diffuse Optical Tomography.

Misha Elena Kilmer, Eric de Sturler

SIAM J. Sci. Comput., 2006

Fast regularized reconstruction of non-uniformly subsampled parallel MRI data.

William Scott Hoge, Misha Elena Kilmer, Steven Haker, Dana H. Brooks, Walid E. Kyriakos

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005

Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomography.

Amine Hamdi, Eric L. Miller, David A. Boas, Maria Angela Franceschini, Misha E. Kilmer

Proceedings of the Computational Imaging III, San Jose, 2005

2001

Imaging the body with diffuse optical tomography.

David A. Boas, Dana H. Brooks, Eric L. Miller, Charles A. DiMarzio, Misha E. Kilmer, Richard J. Gaudette, Quan Zhang

IEEE Signal Process. Mag., 2001

QMR-Based Projection Techniques for the Solution of Non-Hermitian Systems with Multiple Right-Hand Sides.

Misha E. Kilmer, Eric L. Miller, Carey M. Rappaport

SIAM J. Sci. Comput., 2001

Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems.

Misha E. Kilmer, Dianne P. O'Leary

SIAM J. Matrix Anal. Appl., 2001

2000

Wavelet domain image restoration with adaptive edge-preserving regularization.

Murat Belge, Misha Elena Kilmer, Eric L. Miller

IEEE Trans. Image Process., 2000

A new shape-based method for object localization and characterization from scattered field data.

Eric L. Miller, Misha Elena Kilmer, Carey M. Rappaport

IEEE Trans. Geosci. Remote. Sens., 2000

Iterative Regularization and MINRES.

Misha E. Kilmer, G. W. Stewart

SIAM J. Matrix Anal. Appl., 2000

1999

Pivoted Cauchy-Like Preconditioners for Regularized Solution of Ill-Posed Problems.

Misha E. Kilmer, Dianne P. O'Leary

SIAM J. Sci. Comput., 1999

Cauchy-like Preconditioners for Two-Dimensional Ill-Posed Problems.

Misha E. Kilmer

SIAM J. Matrix Anal. Appl., 1999