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N. Benjamin Erichson
N. Benjamin Erichson
Assistant Professor
Verified email at pitt.edu - 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
232*2020
Randomized matrix decompositions using R
NB Erichson, S Voronin, SL Brunton, JN Kutz
Journal of Statistical Software 89 (1), 1--48, 2019
1722019
Physics-informed autoencoders for Lyapunov-stable fluid flow prediction
NB Erichson, M Muehlebach, MW Mahoney
arXiv preprint arXiv:1905.10866, 2019
1562019
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
1522020
Randomized dynamic mode decomposition
NB Erichson, L Mathelin, JN Kutz, SL Brunton
SIAM Journal on Applied Dynamical Systems 18 (4), 1867-1891, 2019
1482019
Forecasting sequential data using consistent koopman autoencoders
O Azencot, NB Erichson, V Lin, M Mahoney
International Conference on Machine Learning, 475-485, 2020
1362020
Compressed dynamic mode decomposition for background modeling
NB Erichson, SL Brunton, JN Kutz
Journal of Real-Time Image Processing 16, 1479-1492, 2019
1202019
Lipschitz recurrent neural networks
NB Erichson, O Azencot, A Queiruga, L Hodgkinson, MW Mahoney
9th International Conference on Learning Representations (ICLR), 2021
1052021
Randomized low-rank dynamic mode decomposition for motion detection
NB Erichson, C Donovan
Computer Vision and Image Understanding 146, 40-50, 2016
882016
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
832021
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
702015
Randomized nonnegative matrix factorization
NB Erichson, A Mendible, S Wihlborn, JN Kutz
Pattern Recognition Letters 104, 1-7, 2018
672018
Randomized CP tensor decomposition
NB Erichson, K Manohar, SL Brunton, JN Kutz
Machine Learning: Science and Technology 1 (2), 025012, 2020
612020
Noisy recurrent neural networks
SH Lim, NB Erichson, L Hodgkinson, MW Mahoney
Advances in Neural Information Processing Systems 34, 2021
482021
Continuous-in-depth neural networks
AF Queiruga, NB Erichson, D Taylor, MW Mahoney
arXiv preprint arXiv:2008.02389, 2020
482020
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
382017
Long expressive memory for sequence modeling
TK Rusch, S Mishra, NB Erichson, MW Mahoney
10th International Conference on Learning Representations (ICLR), 2022
372022
Compressed dynamic mode decomposition for background modeling
NB Erichson, SL Brunton, JN Kutz
Journal of Real-Time Image Processing 16, 1479-1492, 2019
34*2019
Noisy feature mixup
SH Lim, NB Erichson, F Utrera, W Xu, MW Mahoney
10th International Conference on Learning Representations (ICLR), 2022
322022
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
292023
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