Misha E. Kilmer - researchr alias

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Viewing Publication 1 - 38 from 38

2022

Research SpotlightsMisha E. Kilmer. siamrev, 64(1):57-58, 2022. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 64(2):341-342, 2022. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 64(3):623-624, 2022. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 64(4):919, 2022. [doi]

Structured Matrix Approximations via Tensor DecompositionsMisha E. Kilmer, Arvind K. Saibaba. siammax, 43(4):1599-1626, 2022. [doi]

Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactionsArvind K. Saibaba, Rachel Minster, Misha E. Kilmer. adcm, 48(5):66, 2022. [doi]

2021

Research SpotlightsMisha E. Kilmer. siamrev, 63(1):65, 2021. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 63(2):315, 2021. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 63(3):487, 2021. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 63(4):721, 2021. [doi]

Dynamic Graph Convolutional Networks Using the Tensor M-ProductOsman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron. sdm 2021: 729-737 [doi]

Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problemsArvind K. Saibaba, Pranjal Prasad, Eric de Sturler, Eric L. Miller 0001, Misha E. Kilmer. jcphy, 440:110391, 2021. [doi]

2020

Research SpotlightsMisha E. Kilmer. siamrev, 62(1):131, 2020. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 62(2):351, 2020. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 62(3):615, 2020. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 62(4):779-780, 2020. [doi]

Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker FormatRachel Minster, Arvind K. Saibaba, Misha E. Kilmer. simods, 2(1):189-215, 2020. [doi]

Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring ApplicationsElizabeth Newman, Misha E. Kilmer. siamis, 13(3):1084-1112, 2020. [doi]

2019

Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and DetectorsSelin S. Aslan, Eric de Sturler, Misha E. Kilmer. siamsc, 41(2), 2019. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 61(1):77, 2019. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 61(2):259, 2019. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 61(3):441, 2019. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 61(4):731, 2019. [doi]

2018

Research SpotlightsMisha E. Kilmer. siamrev, 60(1):93, 2018. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 60(2):313, 2018. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 60(4):867-868, 2018. [doi]

Research SpotlightsMisha E. Kilmer. siamrev, 60(3):593, 2018. [doi]

A randomized tensor singular value decomposition based on the t-productJiani Zhang, Arvind K. Saibaba, Misha E. Kilmer, Shuchin Aeron. nla, 25(5), 2018. [doi]

2017

Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical TomographyMeghan O'Connell, Misha E. Kilmer, Eric de Sturler, Serkan Gugercin. siamsc, 39(2), 2017. [doi]

2016

Multilinear subspace clusteringEric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha E. Kilmer. gacm 2016: 1-5 [doi]

2015

A Framework for Regularization via Operator ApproximationJulianne M. Chung, Misha E. Kilmer, Dianne P. O'Leary. siamsc, 37(2), 2015. [doi]

2005

Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomographyAmine Hamdi, Eric L. Miller, David A. Boas, Maria Angela Franceschini, Misha E. Kilmer. cimaging 2005: 316-327 [doi]

2001

2000

Iterative Regularization and MINRESMisha E. Kilmer, G. W. Stewart. siammax, 21(2):613-628, 2000. [doi]

1999

Pivoted Cauchy-Like Preconditioners for Regularized Solution of Ill-Posed ProblemsMisha E. Kilmer, Dianne P. O'Leary. siamsc, 21(1):88-110, 1999. [doi]

Cauchy-like Preconditioners for Two-Dimensional Ill-Posed ProblemsMisha E. Kilmer. siammax, 20(3):777-799, 1999. [doi]

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