N. Benjamin Erichson
N. Benjamin Erichson
Assistant Professor
Verified email at - Homepage
Cited by
Cited by
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
Randomized matrix decompositions using R
NB Erichson, S Voronin, SL Brunton, JN Kutz
Journal of Statistical Software 89 (1), 1--48, 2019
Compressed dynamic mode decomposition for background modeling
NB Erichson, SL Brunton, JN Kutz
Journal of Real-Time Image Processing 16, 1479-1492, 2019
Physics-informed autoencoders for Lyapunov-stable fluid flow prediction
NB Erichson, M Muehlebach, MW Mahoney
arXiv preprint arXiv:1905.10866, 2019
Randomized dynamic mode decomposition
NB Erichson, L Mathelin, JN Kutz, SL Brunton
SIAM Journal on Applied Dynamical Systems 18 (4), 1867-1891, 2019
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
Forecasting sequential data using consistent Koopman autoencoders
O Azencot, NB Erichson, V Lin, M Mahoney
International Conference on Machine Learning, 475-485, 2020
Randomized low-rank dynamic mode decomposition for motion detection
NB Erichson, C Donovan
Computer Vision and Image Understanding 146, 40-50, 2016
Lipschitz recurrent neural networks
NB Erichson, O Azencot, A Queiruga, L Hodgkinson, MW Mahoney
9th International Conference on Learning Representations (ICLR), 2021
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
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
Randomized nonnegative matrix factorization
NB Erichson, A Mendible, S Wihlborn, JN Kutz
Pattern Recognition Letters 104, 1-7, 2018
Randomized CP tensor decomposition
NB Erichson, K Manohar, SL Brunton, JN Kutz
Machine Learning: Science and Technology 1 (2), 025012, 2020
Continuous-in-depth neural networks
AF Queiruga, NB Erichson, D Taylor, MW Mahoney
arXiv preprint arXiv:2008.02389, 2020
Noisy recurrent neural networks
SH Lim, NB Erichson, L Hodgkinson, MW Mahoney
Advances in Neural Information Processing Systems 34, 2021
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
scikit-cuda 0.5. 3: a Python interface to GPU-powered libraries
LE Givon, T Unterthiner, NB Erichson, DW Chiang, E Larson, L Pfister, ... 30, v1, 2019
Long expressive memory for sequence modeling
TK Rusch, S Mishra, NB Erichson, MW Mahoney
10th International Conference on Learning Representations (ICLR), 2022
Noise-response analysis of deep neural networks quantifies robustness and fingerprints structural malware
NB Erichson, D Taylor, Q Wu, MW Mahoney
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
Retinamatch: Efficient template matching of retina images for teleophthalmology
C Gong, NB Erichson, JP Kelly, L Trutoiu, BT Schowengerdt, SL Brunton, ...
IEEE transactions on medical imaging 38 (8), 1993-2004, 2019
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