Misha E. Kilmer

60 papers A 1Journal 56Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Efficient Cumulative Edge-Detection Method for Image Reconstruction. CoRR Toluwani Okunola, Mirjeta Pasha, Misha E. Kilmer
2025	J	`jnl`	<tt>nipalsMCIA</tt> : flexible multi-block dimensionality reduction in R via nonlinear iterative partial least squares. Bioinform. Max Mattessich, Joaquin Reyna, Edel Aron, Ferhat Ay, Misha E. Kilmer, Steven H. Kleinstein, Anna Konstorum
2025	J	`jnl`	A tensor-based dynamic mode decomposition based on the ⋆ CoRR Arvind K. Saibaba, Misha E. Kilmer, Khalil A Hall-Hooper, Fan Tian, Alex Mize
2024	J	`jnl`	Multigrid Preconditioning for Regularized Least-Squares Problems. SIAM J. Sci. Comput. Matthias Bolten, Misha E. Kilmer, Scott P. MacLachlan
2024	J	`jnl`	Stable tensor neural networks for efficient deep learning. Frontiers Big Data Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer
2024	J	`jnl`	Tensor Completion with BMD Factor Nuclear Norm Minimization. CoRR Fan Tian, Mirjeta Pasha, Misha E. Kilmer, Eric L. Miller, Abani Patra
2023	J	`jnl`	Multigrid preconditioning for regularized least-squares problems. CoRR Matthias Bolten, Scott P. MacLachlan, Misha E. Kilmer
2023	J	`jnl`	Recycling MMGKS for large-scale dynamic and streaming data. CoRR Mirjeta Pasha, Eric de Sturler, Misha E. Kilmer
2023	J	`jnl`	Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery. CoRR Misha E. Kilmer, Eric de Sturler
2023	J	`jnl`	Tensor BM-Decomposition for Compression and Analysis of Spatio-Temporal Third-order Data. CoRR Fan Tian, Misha E. Kilmer, Eric L. Miller, Abani Patra
2022	J	`jnl`	Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions. Adv. Comput. Math. Arvind K. Saibaba, Rachel Minster, Misha E. Kilmer
2022	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2022	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2022	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2022	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2022	J	`jnl`	Structured Matrix Approximations via Tensor Decompositions. SIAM J. Matrix Anal. Appl. Misha E. Kilmer, Arvind K. Saibaba
2021	A	`conf`	Dynamic Graph Convolutional Networks Using the Tensor M-Product. SDM Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
2021	J	`jnl`	Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions. CoRR Arvind K. Saibaba, Rachel Minster, Misha E. Kilmer
2021	J	`jnl`	Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems. J. Comput. Phys. Arvind K. Saibaba, Pranjal Prasad, Eric de Sturler, Eric L. Miller, Misha E. Kilmer
2021	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2021	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2021	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2021	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2021	J	`jnl`	Structured Matrix Approximations via Tensor Decompositions. CoRR Misha E. Kilmer, Arvind K. Saibaba
2020	J	`jnl`	A survey of subspace recycling iterative methods. CoRR Kirk M. Soodhalter, Eric de Sturler, Misha E. Kilmer
2020	J	`jnl`	Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. SIAM J. Imaging Sci. Elizabeth Newman, Misha E. Kilmer
2020	J	`jnl`	Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format. SIAM J. Math. Data Sci. Rachel Minster, Arvind K. Saibaba, Misha E. Kilmer
2020	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2020	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2020	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2020	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2020	J	`jnl`	Tensor-Tensor Products for Optimal Representation and Compression. CoRR Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman
2019	J	`jnl`	An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction. CoRR Silvia Gazzola, Misha E. Kilmer, James G. Nagy, Oguz Semerci, Eric L. Miller
2019	J	`jnl`	Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. CoRR Elizabeth Newman, Misha E. Kilmer
2019	J	`jnl`	Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors. SIAM J. Sci. Comput. Selin S. Aslan, Eric de Sturler, Misha E. Kilmer
2019	J	`jnl`	Randomized algorithms for low-rank tensor decompositions in the Tucker format. CoRR Rachel Minster, Arvind K. Saibaba, Misha E. Kilmer
2019	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2019	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2019	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2019	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2019	J	`jnl`	Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. CoRR Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
2018	J	`jnl`	A randomized tensor singular value decomposition based on the t-product. Numer. Linear Algebra Appl. Jiani Zhang, Arvind K. Saibaba, Misha E. Kilmer, Shuchin Aeron
2018	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2018	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2018	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2018	J	`jnl`	Research Spotlights. SIAM Rev. Misha E. Kilmer
2018	J	`jnl`	Stable Tensor Neural Networks for Rapid Deep Learning. CoRR Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer
2017	J	`jnl`	Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography. SIAM J. Sci. Comput. Meghan O'Connell, Misha E. Kilmer, Eric de Sturler, Serkan Gugercin
2017	—	`conf`	Image classification using local tensor singular value decompositions. CAMSAP Elizabeth Newman, Misha E. Kilmer, Lior Horesh
2017	J	`jnl`	Image classification using local tensor singular value decompositions. CoRR Elizabeth Newman, Misha E. Kilmer, Lior Horesh
2016	—	`conf`	Multilinear subspace clustering. SSP Eric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha E. Kilmer
2015	J	`jnl`	A Framework for Regularization via Operator Approximation. SIAM J. Sci. Comput. Julianne M. Chung, Misha E. Kilmer, Dianne P. O'Leary
2011	J	`jnl`	Iterative Parameter-Choice and Multigrid Methods for Anisotropic Diffusion Denoising. SIAM J. Sci. Comput. D. Chen, Scott P. MacLachlan, Misha E. Kilmer
2005	—	`conf`	Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomography. Computational Imaging Amine Hamdi, Eric L. Miller, David A. Boas, Maria Angela Franceschini, Misha E. Kilmer
2001	J	`jnl`	Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems. SIAM J. Matrix Anal. Appl. Misha E. Kilmer, Dianne P. O'Leary
2001	J	`jnl`	Imaging the body with diffuse optical tomography. IEEE Signal Process. Mag. David A. Boas, Dana H. Brooks, Eric L. Miller, Charles A. DiMarzio, Misha E. Kilmer, Richard J. Gaudette, Quan Zhang
2001	J	`jnl`	QMR-Based Projection Techniques for the Solution of Non-Hermitian Systems with Multiple Right-Hand Sides. SIAM J. Sci. Comput. Misha E. Kilmer, Eric L. Miller, Carey M. Rappaport
2000	J	`jnl`	Iterative Regularization and MINRES. SIAM J. Matrix Anal. Appl. Misha E. Kilmer, G. W. Stewart
1999	J	`jnl`	Cauchy-like Preconditioners for Two-Dimensional Ill-Posed Problems. SIAM J. Matrix Anal. Appl. Misha E. Kilmer
1999	J	`jnl`	Pivoted Cauchy-Like Preconditioners for Regularized Solution of Ill-Posed Problems. SIAM J. Sci. Comput. Misha E. Kilmer, Dianne P. O'Leary