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Misha Elena Kilmer
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- affiliation: Tufts University, USA
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2020 – today
- 2024
- [j55]Elizabeth Newman, Lior Horesh, Haim Avron
, Misha E. Kilmer:
Stable tensor neural networks for efficient deep learning. Frontiers Big Data 7 (2024) - [j54]Matthias Bolten, Misha E. Kilmer, Scott P. MacLachlan:
Multigrid Preconditioning for Regularized Least-Squares Problems. SIAM J. Sci. Comput. 46(5): S271-S295 (2024) - [i23]Fan Tian, Mirjeta Pasha, Misha E. Kilmer, Eric L. Miller, Abani Patra:
Tensor Completion with BMD Factor Nuclear Norm Minimization. CoRR abs/2402.13068 (2024) - 2023
- [i22]Fan Tian, Misha E. Kilmer, Eric L. Miller, Abani Patra:
Tensor BM-Decomposition for Compression and Analysis of Spatio-Temporal Third-order Data. CoRR abs/2306.09201 (2023) - [i21]Matthias Bolten, Scott P. MacLachlan, Misha E. Kilmer:
Multigrid preconditioning for regularized least-squares problems. CoRR abs/2306.11067 (2023) - [i20]Misha E. Kilmer, Eric de Sturler:
Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery. CoRR abs/2306.15049 (2023) - [i19]Mirjeta Pasha, Eric de Sturler
Recycling MMGKS for large-scale dynamic and streaming data. CoRR abs/2309.15759 (2023) - 2022
- [j53]Arvind K. Saibaba
Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions. Adv. Comput. Math. 48(5): 66 (2022) - [j52]Misha E. Kilmer
Structured Matrix Approximations via Tensor Decompositions. SIAM J. Matrix Anal. Appl. 43(4): 1599-1626 (2022) - [j51]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 64(1): 57-58 (2022) - [j50]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 64(2): 341-342 (2022) - [j49]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 64(3): 623-624 (2022) - [j48]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 64(4): 919 (2022) - [i18]Ege Ozsar, Misha Elena Kilmer, Eric L. Miller, Eric de Sturler
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR). CoRR abs/2204.09815 (2022) - 2021
- [j47]Arvind K. Saibaba
Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems. J. Comput. Phys. 440: 110391 (2021) - [j46]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 63(1): 65 (2021) - [j45]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 63(2): 315 (2021) - [j44]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 63(3): 487 (2021) - [j43]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 63(4): 721 (2021) - [c7]Osman Asif Malik
Dynamic Graph Convolutional Networks Using the Tensor M-Product. SDM 2021: 729-737 - [i17]Misha E. Kilmer, Arvind K. Saibaba:
Structured Matrix Approximations via Tensor Decompositions. CoRR abs/2105.01170 (2021) - [i16]Arvind K. Saibaba, Rachel Minster, Misha E. Kilmer:
Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions. CoRR abs/2107.13107 (2021) - 2020
- [j42]Elizabeth Newman, Misha E. Kilmer
Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. SIAM J. Imaging Sci. 13(3): 1084-1112 (2020) - [j41]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 62(1): 131 (2020) - [j40]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 62(2): 351 (2020) - [j39]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 62(3): 615 (2020) - [j38]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 62(4): 779-780 (2020) - [j37]Rachel Minster, Arvind K. Saibaba
Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format. SIAM J. Math. Data Sci. 2(1): 189-215 (2020) - [i15]Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman:
Tensor-Tensor Products for Optimal Representation and Compression. CoRR abs/2001.00046 (2020) - [i14]Kirk M. Soodhalter, Eric de Sturler, Misha E. Kilmer:
A survey of subspace recycling iterative methods. CoRR abs/2001.10347 (2020)
2010 – 2019
- 2019
- [j36]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 61(1): 77 (2019) - [j35]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 61(2): 259 (2019) - [j34]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 61(3): 441 (2019) - [j33]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 61(4): 731 (2019) - [j32]Selin S. Aslan
Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors. SIAM J. Sci. Comput. 41(2): B229-B249 (2019) - [i13]Rachel Minster, Arvind K. Saibaba, Misha E. Kilmer:
Randomized algorithms for low-rank tensor decompositions in the Tucker format. CoRR abs/1905.07311 (2019) - [i12]Elizabeth Newman, Misha E. Kilmer:
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. CoRR abs/1910.00993 (2019) - [i11]Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron:
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. CoRR abs/1910.07643 (2019) - [i10]Silvia Gazzola, Misha E. Kilmer, James G. Nagy, Oguz Semerci, Eric L. Miller:
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction. CoRR abs/1912.13103 (2019) - 2018
- [j31]Jiani Zhang
A randomized tensor singular value decomposition based on the t-product. Numer. Linear Algebra Appl. 25(5) (2018) - [j30]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 60(1): 93 (2018) - [j29]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 60(2): 313 (2018) - [j28]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 60(3): 593 (2018) - [j27]Misha E. Kilmer:
Research Spotlights. SIAM Rev. 60(4): 867-868 (2018) - [i9]Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer:
Stable Tensor Neural Networks for Rapid Deep Learning. CoRR abs/1811.06569 (2018) - 2017
- [j26]Meghan O'Connell, Misha E. Kilmer, Eric de Sturler
Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography. SIAM J. Sci. Comput. 39(2) (2017) - [c6]Elizabeth Newman, Misha E. Kilmer, Lior Horesh:
Image classification using local tensor singular value decompositions. CAMSAP 2017: 1-5 - [i8]Elizabeth Newman, Misha E. Kilmer, Lior Horesh:
Image classification using local tensor singular value decompositions. CoRR abs/1706.09693 (2017) - 2016
- [c5]Eric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha E. Kilmer:
Multilinear subspace clustering. SSP 2016: 1-5 - [i7]Jiani Zhang, Arvind K. Saibaba, Misha Elena Kilmer, Shuchin Aeron:
A Randomized Tensor Singular Value Decomposition based on the t-product. CoRR abs/1609.07086 (2016) - 2015
- [j25]Julianne M. Chung
A Framework for Regularization via Operator Approximation. SIAM J. Sci. Comput. 37(2) (2015) - [j24]Eric de Sturler
Nonlinear Parametric Inversion Using Interpolatory Model Reduction. SIAM J. Sci. Comput. 37(3) (2015) - [j23]Arvind K. Saibaba
Fast Algorithms for Hyperspectral Diffuse Optical Tomography. SIAM J. Sci. Comput. 37(5) (2015) - [i6]Sara Soltani, Misha Elena Kilmer, Per Christian Hansen:
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction. CoRR abs/1506.04954 (2015) - [i5]Eric Kernfeld, Nathan Majumder, Shuchin Aeron, Misha Elena Kilmer:
Multilinear Subspace Clustering. CoRR abs/1512.06730 (2015) - 2014
- [j22]Malena I. Español
A Wavelet-Based Multilevel Approach for Blind Deconvolution Problems. SIAM J. Sci. Comput. 36(4) (2014) - [j21]Oguz Semerci, Ning Hao, Misha Elena Kilmer, Eric L. Miller
Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography. IEEE Trans. Image Process. 23(4): 1678-1693 (2014) - [c4]Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer:
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD. CVPR 2014: 3842-3849 - [i4]Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer:
Novel methods for multilinear data completion and de-noising based on tensor-SVD. CoRR abs/1407.1785 (2014) - [i3]Eric Kernfeld, Shuchin Aeron, Misha Elena Kilmer:
Clustering multi-way data: a novel algebraic approach. CoRR abs/1412.7056 (2014) - 2013
- [j20]Ning Hao, Misha Elena Kilmer, Karen S. Braman, Randy C. Hoover:
Facial Recognition Using Tensor-Tensor Decompositions. SIAM J. Imaging Sci. 6(1): 437-463 (2013) - [j19]Misha Elena Kilmer, Karen S. Braman, Ning Hao, Randy C. Hoover:
Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging. SIAM J. Matrix Anal. Appl. 34(1): 148-172 (2013) - [i2]Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, Misha Elena Kilmer:
Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data. CoRR abs/1307.0805 (2013) - [i1]Oguz Semerci, Ning Hao, Misha Elena Kilmer, Eric L. Miller:
Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography. CoRR abs/1307.5348 (2013) - 2011
- [j18]Alireza Aghasi, Misha Elena Kilmer, Eric L. Miller
Parametric Level Set Methods for Inverse Problems. SIAM J. Imaging Sci. 4(2): 618-650 (2011) - [j17]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:
Special Section: 2010 Copper Mountain Conference. SIAM J. Sci. Comput. 33(5): 2685 (2011) - [j16]D. Chen, Scott P. MacLachlan, Misha E. Kilmer:
Iterative Parameter-Choice and Multigrid Methods for Anisotropic Diffusion Denoising. SIAM J. Sci. Comput. 33(5): 2972-2994 (2011) - [j15]Eric de Sturler
A Regularized Gauss-Newton Trust Region Approach to Imaging in Diffuse Optical Tomography. SIAM J. Sci. Comput. 33(5): 3057-3086 (2011) - 2010
- [j14]Malena I. Español
Multilevel Approach For Signal Restoration Problems With Toeplitz Matrices. SIAM J. Sci. Comput. 32(1): 299-319 (2010)
2000 – 2009
- 2007
- [j13]Misha Elena Kilmer, James G. Nagy:
Kronecker product approximations for dense block Toeplitz-plus-Hankel matrices. Numer. Linear Algebra Appl. 14(8): 581-602 (2007) - [j12]Damon Hyde
Analysis and Exploitation of Matrix Structure Arising in Linearized Optical Tomographic Imaging. SIAM J. Matrix Anal. Appl. 29(4): 1065-1082 (2007) - [j11]Misha Elena Kilmer, Per Christian Hansen
A Projection-Based Approach to General-Form Tikhonov Regularization. SIAM J. Sci. Comput. 29(1): 315-330 (2007) - [c3]William Scott Hoge
Fast Regularized Reconstruction of Non-Uniformly Subsampled Partial-Fourier Parallel MRI Data. ISBI 2007: 1012-1015 - 2006
- [j10]Misha Elena Kilmer, Eric de Sturler
Recycling Subspace Information for Diffuse Optical Tomography. SIAM J. Sci. Comput. 27(6): 2140-2166 (2006) - [j9]James G. Nagy, Misha Elena Kilmer:
Kronecker product approximation for preconditioning in three-dimensional imaging applications. IEEE Trans. Image Process. 15(3): 604-613 (2006) - [c2]William Scott Hoge, Misha Elena Kilmer, Steven Haker, Dana H. Brooks, Walid E. Kyriakos:
Fast regularized reconstruction of non-uniformly subsampled parallel MRI data. ISBI 2006: 714-717 - 2005
- [c1]Amine Hamdi, Eric L. Miller
Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomography. Computational Imaging 2005: 316-327 - 2001
- [j8]Misha E. Kilmer, Dianne P. O'Leary:
Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems. SIAM J. Matrix Anal. Appl. 22(4): 1204-1221 (2001) - [j7]Misha E. Kilmer, Eric L. Miller
QMR-Based Projection Techniques for the Solution of Non-Hermitian Systems with Multiple Right-Hand Sides. SIAM J. Sci. Comput. 23(3): 761-780 (2001) - [j6]David A. Boas, Dana H. Brooks, Eric L. Miller, Charles A. DiMarzio, Misha E. Kilmer, Richard J. Gaudette, Quan Zhang:
Imaging the body with diffuse optical tomography. IEEE Signal Process. Mag. 18(6): 57-75 (2001) - 2000
- [j5]Misha E. Kilmer, G. W. Stewart:
Iterative Regularization and MINRES. SIAM J. Matrix Anal. Appl. 21(2): 613-628 (2000) - [j4]Eric L. Miller
A new shape-based method for object localization and characterization from scattered field data. IEEE Trans. Geosci. Remote. Sens. 38(4): 1682-1696 (2000) - [j3]Murat Belge, Misha Elena Kilmer, Eric L. Miller
Wavelet domain image restoration with adaptive edge-preserving regularization. IEEE Trans. Image Process. 9(4): 597-608 (2000)
1990 – 1999
- 1999
- [j2]Misha E. Kilmer:
Cauchy-like Preconditioners for Two-Dimensional Ill-Posed Problems. SIAM J. Matrix Anal. Appl. 20(3): 777-799 (1999) - [j1]Misha E. Kilmer, Dianne P. O'Leary:
Pivoted Cauchy-Like Preconditioners for Regularized Solution of Ill-Posed Problems. SIAM J. Sci. Comput. 21(1): 88-110 (1999)
Coauthor Index
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last updated on 2024-12-03 20:31 CET by the dblp team
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