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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
239*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
1652019
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
1572020
Randomized dynamic mode decomposition
NB Erichson, L Mathelin, JN Kutz, SL Brunton
SIAM Journal on Applied Dynamical Systems 18 (4), 1867-1891, 2019
1492019
Forecasting sequential data using consistent koopman autoencoders
O Azencot, NB Erichson, V Lin, M Mahoney
International Conference on Machine Learning, 475-485, 2020
1402020
Compressed dynamic mode decomposition for background modeling
NB Erichson, SL Brunton, JN Kutz
Journal of Real-Time Image Processing 16, 1479-1492, 2019
1242019
Lipschitz recurrent neural networks
NB Erichson, O Azencot, A Queiruga, L Hodgkinson, MW Mahoney
9th International Conference on Learning Representations (ICLR), 2021
1102021
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
852021
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
712015
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
492021
Continuous-in-depth neural networks
AF Queiruga, NB Erichson, D Taylor, MW Mahoney
arXiv preprint arXiv:2008.02389, 2020
482020
Long expressive memory for sequence modeling
TK Rusch, S Mishra, NB Erichson, MW Mahoney
10th International Conference on Learning Representations (ICLR), 2022
422022
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
372017
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
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
332023
Noisy feature mixup
SH Lim, NB Erichson, F Utrera, W Xu, MW Mahoney
10th International Conference on Learning Representations (ICLR), 2022
332022
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