Cauchy-like Preconditioners for Two-Dimensional Ill-Posed Problems. - Misha E. Kilmer (SIAM J. Matrix Anal. Appl., 1999)

Pivoted Cauchy-Like Preconditioners for Regularized Solution of Ill-Posed Problems. - Misha E. Kilmer; Dianne P. O'Leary (SIAM J. Sci. Comput., 1999)

Iterative Regularization and MINRES. - Misha E. Kilmer; G. W. Stewart (SIAM J. Matrix Anal. Appl., 2000)

A new shape-based method for object localization and characterization from scattered field data. - Eric L. Miller 001; Misha Elena Kilmer; Carey M. Rappaport (IEEE Trans. Geosci. Remote. Sens., 2000)

Wavelet domain image restoration with adaptive edge-preserving regularization. - Murat Belge; Misha Elena Kilmer; Eric L. Miller 001 (IEEE Trans. Image Process., 2000)

Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems. - Misha E. Kilmer; Dianne P. O'Leary (SIAM J. Matrix Anal. Appl., 2001)

QMR-Based Projection Techniques for the Solution of Non-Hermitian Systems with Multiple Right-Hand Sides. - Misha E. Kilmer; Eric L. Miller 001; Carey M. Rappaport (SIAM J. Sci. Comput., 2001)

Imaging the body with diffuse optical tomography. - David A. Boas; Dana H. Brooks; Eric L. Miller 001; Charles A. DiMarzio; Misha E. Kilmer; Richard J. Gaudette; Quan Zhang (IEEE Signal Process. Mag., 2001)

Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomography. - Amine Hamdi; Eric L. Miller 001; David A. Boas; Maria Angela Franceschini; Misha E. Kilmer (Computational Imaging, 2005)

Fast regularized reconstruction of non-uniformly subsampled parallel MRI data. - William Scott Hoge; Misha Elena Kilmer; Steven Haker; Dana H. Brooks; Walid E. Kyriakos (ISBI, 2006)

Recycling Subspace Information for Diffuse Optical Tomography. - Misha Elena Kilmer; Eric de Sturler (SIAM J. Sci. Comput., 2006)

Kronecker product approximation for preconditioning in three-dimensional imaging applications. - James G. Nagy; Misha Elena Kilmer (IEEE Trans. Image Process., 2006)

Fast Regularized Reconstruction of Non-Uniformly Subsampled Partial-Fourier Parallel MRI Data. - William Scott Hoge; Misha Elena Kilmer; Carlos Zacarias-Almarcha; Dana H. Brooks (ISBI, 2007)

Kronecker product approximations for dense block Toeplitz-plus-Hankel matrices. - Misha Elena Kilmer; James G. Nagy (Numer. Linear Algebra Appl., 2007)

Analysis and Exploitation of Matrix Structure Arising in Linearized Optical Tomographic Imaging. - Damon Hyde; Misha Elena Kilmer; Dana H. Brooks; Eric L. Miller 001 (SIAM J. Matrix Anal. Appl., 2007)

A Projection-Based Approach to General-Form Tikhonov Regularization. - Misha Elena Kilmer; Per Christian Hansen; Malena I. Español (SIAM J. Sci. Comput., 2007)

Multilevel Approach For Signal Restoration Problems With Toeplitz Matrices. - Malena I. Español; Misha Elena Kilmer (SIAM J. Sci. Comput., 2010)

Parametric Level Set Methods for Inverse Problems. - Alireza Aghasi; Misha Elena Kilmer; Eric L. Miller 001 (SIAM J. Imaging Sci., 2011)

Iterative Parameter-Choice and Multigrid Methods for Anisotropic Diffusion Denoising. - D. Chen; Scott P. MacLachlan; Misha E. Kilmer (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)

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; et al. (SIAM J. Sci. Comput., 2011)

Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography. - Oguz Semerci; Ning Hao; Misha Elena Kilmer; Eric L. Miller 001 (CoRR, 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)

Facial Recognition Using Tensor-Tensor Decompositions. - Ning Hao; Misha Elena Kilmer; Karen S. Braman; Randy C. Hoover (SIAM J. Imaging Sci., 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)

Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD. - Zemin Zhang; Gregory Ely; Shuchin Aeron; Ning Hao; Misha Elena Kilmer (CVPR, 2014)

Clustering multi-way data: a novel algebraic approach. - Eric Kernfeld; Shuchin Aeron; Misha Elena Kilmer (CoRR, 2014)

A Wavelet-Based Multilevel Approach for Blind Deconvolution Problems. - Malena I. Español; Misha Elena Kilmer (SIAM J. Sci. Comput., 2014)

Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography. - Oguz Semerci; Ning Hao; Misha Elena Kilmer; Eric L. Miller 001 (IEEE Trans. Image Process., 2014)

A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction. - Sara Soltani; Misha Elena Kilmer; Per Christian Hansen (CoRR, 2015)

A Framework for Regularization via Operator Approximation. - Julianne M. Chung; Misha E. Kilmer; Dianne P. O'Leary (SIAM J. Sci. Comput., 2015)

Fast Algorithms for Hyperspectral Diffuse Optical Tomography. - Arvind K. Saibaba; Misha Elena Kilmer; Eric L. Miller 001; Sergio Fantini (SIAM J. Sci. Comput., 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)

Multilinear subspace clustering. - Eric Kernfeld; Nathan Majumder; Shuchin Aeron; Misha E. Kilmer (SSP, 2016)

Image classification using local tensor singular value decompositions. - Elizabeth Newman; Misha E. Kilmer; Lior Horesh (CAMSAP, 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)

Stable Tensor Neural Networks for Rapid Deep Learning. - Elizabeth Newman; Lior Horesh; Haim Avron; Misha E. Kilmer (CoRR, 2018)

A randomized tensor singular value decomposition based on the t-product. - Jiani Zhang 002; Arvind K. Saibaba; Misha E. Kilmer; Shuchin Aeron (Numer. Linear Algebra Appl., 2018)

Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. - Elizabeth Newman; Misha E. Kilmer (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)

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 001 (CoRR, 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)

Tensor-Tensor Products for Optimal Representation and Compression. - Misha E. Kilmer; Lior Horesh; Haim Avron; Elizabeth Newman (CoRR, 2020)

A survey of subspace recycling iterative methods. - Kirk M. Soodhalter; Eric de Sturler; Misha E. Kilmer (CoRR, 2020)

Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. - Elizabeth Newman; Misha E. Kilmer (SIAM J. Imaging Sci., 2020)

Research Spotlights. - Misha E. Kilmer (SIAM Rev., 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)

Dynamic Graph Convolutional Networks Using the Tensor M-Product. - Osman Asif Malik; Shashanka Ubaru; Lior Horesh; Misha E. Kilmer; Haim Avron (SDM, 2021)

Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems. - Arvind K. Saibaba; Pranjal Prasad; Eric de Sturler; Eric L. Miller 001; Misha E. Kilmer (J. Comput. Phys., 2021)

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)

Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR). - Ege Ozsar; Misha Elena Kilmer; Eric L. Miller 001; Eric de Sturler; Arvind K. Saibaba (CoRR, 2022)

Structured Matrix Approximations via Tensor Decompositions. - Misha E. Kilmer; Arvind K. Saibaba (SIAM J. Matrix Anal. Appl., 2022)

Tensor BM-Decomposition for Compression and Analysis of Spatio-Temporal Third-order Data. - Fan Tian; Misha E. Kilmer; Eric L. Miller 001; Abani Patra (CoRR, 2023)

Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery. - Misha E. Kilmer; Eric de Sturler (CoRR, 2023)

Recycling MMGKS for large-scale dynamic and streaming data. - Mirjeta Pasha; Eric de Sturler; Misha E. Kilmer (CoRR, 2023)

Tensor Completion with BMD Factor Nuclear Norm Minimization. - Fan Tian; Mirjeta Pasha; Misha E. Kilmer; Eric L. Miller 001; Abani Patra (CoRR, 2024)

Stable tensor neural networks for efficient deep learning. - Elizabeth Newman; Lior Horesh; Haim Avron; Misha E. Kilmer (Frontiers Big Data, 2024)

Multigrid Preconditioning for Regularized Least-Squares Problems. - Matthias Bolten; Misha E. Kilmer; Scott P. MacLachlan (SIAM J. Sci. Comput., 2024)

Efficient Dynamic Image Reconstruction with motion estimation. - Toluwani Okunola; Mirjeta Pasha; Misha Elena Kilmer; Melina A. Freitag (CoRR, 2025)

Alternating steepest descent methods for tensor completion with applications to spectromicroscopy. - Oliver Townsend; Sergey Dolgov; Silvia Gazzola; Misha Elena Kilmer (CoRR, 2025)

A tensor-based dynamic mode decomposition based on the ⋆M-product. - Arvind K. Saibaba; Misha E. Kilmer; Khalil A Hall-Hooper; Fan Tian; Alex Mize (CoRR, 2025)