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N. Benjamin Erichson
N. Benjamin Erichson
Research Scientist
Verified email at lbl.gov - Homepage
Title
Cited by
Cited by
Year
Shallow neural networks for fluid flow reconstruction with limited sensors
NB Erichson, L Mathelin, Z Yao, SL Brunton, MW Mahoney, JN Kutz
Proceedings of the Royal Society A 476 (2238), 20200097, 2020
300*2020
Randomized matrix decompositions using R
NB Erichson, S Voronin, SL Brunton, JN Kutz
Journal of Statistical Software 89 (1), 1--48, 2019
1902019
Forecasting sequential data using consistent koopman autoencoders
O Azencot, NB Erichson, V Lin, M Mahoney
International Conference on Machine Learning, 475-485, 2020
1872020
Physics-informed autoencoders for Lyapunov-stable fluid flow prediction
NB Erichson, M Muehlebach, MW Mahoney
arXiv preprint arXiv:1905.10866, 2019
1852019
Sparse principal component analysis via variable projection
NB Erichson, P Zheng, K Manohar, SL Brunton, JN Kutz, AY Aravkin
SIAM Journal on Applied Mathematics 80 (2), 977-1002, 2020
1832020
Randomized dynamic mode decomposition
NB Erichson, L Mathelin, JN Kutz, SL Brunton
SIAM Journal on Applied Dynamical Systems 18 (4), 1867-1891, 2019
1592019
Lipschitz recurrent neural networks
NB Erichson, O Azencot, A Queiruga, L Hodgkinson, MW Mahoney
9th International Conference on Learning Representations (ICLR), 2021
1372021
Compressed dynamic mode decomposition for background modeling
NB Erichson, SL Brunton, JN Kutz
Journal of Real-Time Image Processing 16, 1479-1492, 2019
1272019
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
F Utrera, E Kravitz, NB Erichson, R Khanna, MW Mahoney
9th International Conference on Learning Representations (ICLR), 2021
972021
Randomized low-rank dynamic mode decomposition for motion detection
NB Erichson, C Donovan
Computer Vision and Image Understanding 146, 40-50, 2016
922016
Multi-resolution dynamic mode decomposition for foreground/background separation and object tracking
JN Kutz, X Fu, SL Brunton, NB Erichson
2015 IEEE international conference on computer vision workshop (ICCVW), 921-929, 2015
732015
Randomized nonnegative matrix factorization
NB Erichson, A Mendible, S Wihlborn, JN Kutz
Pattern Recognition Letters 104, 1-7, 2018
702018
Randomized CP tensor decomposition
NB Erichson, K Manohar, SL Brunton, JN Kutz
Machine Learning: Science and Technology 1 (2), 025012, 2020
672020
Randomized numerical linear algebra: A perspective on the field with an eye to software
R Murray, J Demmel, MW Mahoney, NB Erichson, M Melnichenko, ...
arXiv preprint arXiv:2302.11474, 2023
652023
Noisy recurrent neural networks
SH Lim, NB Erichson, L Hodgkinson, MW Mahoney
Advances in Neural Information Processing Systems 34, 2021
652021
Continuous-in-depth neural networks
AF Queiruga, NB Erichson, D Taylor, MW Mahoney
arXiv preprint arXiv:2008.02389, 2020
552020
Long expressive memory for sequence modeling
TK Rusch, S Mishra, NB Erichson, MW Mahoney
10th International Conference on Learning Representations (ICLR), 2022
522022
Noisy feature mixup
SH Lim, NB Erichson, F Utrera, W Xu, MW Mahoney
10th International Conference on Learning Representations (ICLR), 2022
452022
Compressed Singular Value Decomposition for Image and Video Processing
N Benjamin Erichson, SL Brunton, J Nathan Kutz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
452017
Learning continuous models for continuous physics
AS Krishnapriyan, AF Queiruga, NB Erichson, MW Mahoney
Communications Physics 6 (1), 319, 2023
412023
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Articles 1–20