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1608.02148
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Randomized Matrix Decompositions using R
6 August 2016
N. Benjamin Erichson
S. Voronin
Steven L. Brunton
J. Nathan Kutz
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Papers citing
"Randomized Matrix Decompositions using R"
29 / 29 papers shown
Factor pre-training in Bayesian multivariate logistic models
Biometrika (Biometrika), 2024
Lorenzo Mauri
David B. Dunson
237
4
0
26 Sep 2024
Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data
Meghana Velegar
Christoph Keller
J. Nathan Kutz
147
3
0
13 Apr 2024
Ensemble Principal Component Analysis
IEEE Access (IEEE Access), 2023
Olga Dorabiala
Aleksandr Aravkin
I. J. N. K. Member
235
21
0
03 Nov 2023
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression
Engineering computations (Eng. Comput.), 2022
Gabriel F. Barros
Malú Grave
J. Camata
A. Coutinho
AI4CE
223
3
0
16 Aug 2022
Improved analysis of randomized SVD for top-eigenvector approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ruo-Chun Tzeng
Po-An Wang
Florian Adriaens
Aristides Gionis
Chi-Jen Lu
240
2
0
16 Feb 2022
On randomized sketching algorithms and the Tracy-Widom law
Statistics and computing (Stat. Comput.), 2022
Daniel Ahfock
W. Astle
S. Richardson
262
1
0
03 Jan 2022
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo
Suhyun Kang
Wonjong Rhee
311
2
0
30 Nov 2021
Coupled and Uncoupled Dynamic Mode Decomposition in Multi-Compartmental Systems with Applications to Epidemiological and Additive Manufacturing Problems
Computer Methods in Applied Mechanics and Engineering (CMAME), 2021
Alex Viguerie
Gabriel F. Barros
Malú Grave
A. Reali
A. Coutinho
OOD
AI4CE
229
33
0
12 Oct 2021
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification
Diya Sashidhar
J. Nathan Kutz
236
80
0
22 Jul 2021
A Coupled Random Projection Approach to Large-Scale Canonical Polyadic Decomposition
Lu-Ming Wang
Ya-Nan Wang
Xiaofeng Gong
Qiuhua Lin
Fei Xiang
114
0
0
10 May 2021
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations
Engineering computations (Eng. Comput.), 2021
Gabriel F. Barros
Malú Grave
Alex Viguerie
A. Reali
A. Coutinho
AI4CE
195
16
0
28 Apr 2021
Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder
IEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2021
Subham Nagar
Ahlad Kumar
74
19
0
16 Apr 2021
Modern Koopman Theory for Dynamical Systems
SIAM Review (SIAM Rev.), 2021
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
400
630
0
24 Feb 2021
Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed AutoEncoder
Signal Processing (Signal Process.), 2021
Subham Nagar
Ahlad Kumar
M. Swamy
74
7
0
16 Feb 2021
Automating Artifact Detection in Video Games
Parmida Davarmanesh
Kuanhao Jiang
Ting-Chieh Ou
Artem Vysogorets
Stanislav Ivashkevich
Max Kiehn
Shantanu H. Joshi
Nicholas Malaya
128
6
0
30 Nov 2020
Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning
Steven L. Brunton
J. Nathan Kutz
Krithika Manohar
Aleksandr Aravkin
K. Morgansen
...
J. Buttrick
Jeffrey Poskin
Agnes Blom-Schieber
Thomas Hogan
Darren McDonald
AI4CE
254
200
0
24 Aug 2020
How to reduce dimension with PCA and random projections?
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Fan Yang
Sifan Liu
Guang Cheng
David P. Woodruff
339
36
0
01 May 2020
Randomized spectral co-clustering for large-scale directed networks
Journal of machine learning research (JMLR), 2020
Xiao Guo
Yixuan Qiu
Hai Zhang
Xiangyu Chang
403
20
0
25 Apr 2020
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities
American Statistician (Am. Stat.), 2020
David Rügamer
Chris Kolb
Nadja Klein
354
29
0
13 Feb 2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Journal of Computational And Graphical Statistics (JCGS), 2020
Hai Zhang
Xiao Guo
Xiangyu Chang
503
31
0
20 Jan 2020
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors
N. Benjamin Erichson
L. Mathelin
Z. Yao
Steven L. Brunton
Michael W. Mahoney
J. Nathan Kutz
AI4CE
255
34
0
20 Feb 2019
RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology
Chen Gong
N. Benjamin Erichson
J. Kelly
Laura C. Trutoiu
B. Schowengerdt
Steven L. Brunton
E. Seibel
MedIm
167
16
0
28 Nov 2018
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson
Peng Zeng
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
Aleksandr Aravkin
327
131
0
01 Apr 2018
Diffusion Maps meet Nyström
N. Benjamin Erichson
L. Mathelin
Steven L. Brunton
J. Nathan Kutz
219
4
0
23 Feb 2018
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
Nature Methods (Nat Methods), 2017
G. Linderman
M. Rachh
J. Hoskins
Stefan Steinerberger
Y. Kluger
380
492
0
25 Dec 2017
Randomized Nonnegative Matrix Factorization
N. Benjamin Erichson
Ariana Mendible
Sophie Wihlborn
J. Nathan Kutz
230
55
0
06 Nov 2017
Randomized CP Tensor Decomposition
N. Benjamin Erichson
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
282
67
0
27 Mar 2017
Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries
International Conference on Data Science and Advanced Analytics (DSAA), 2016
Bethany Lusch
Eric C. Chi
J. Nathan Kutz
136
5
0
16 Aug 2016
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
399
345
0
04 Nov 2015
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