N. Benjamin Erichson
International Computer Science Institute(US)Lawrence Berkeley National Laboratory(US)
Publications by Year
Research Areas
Model Reduction and Neural Networks, Neural Networks and Applications, Adversarial Robustness in Machine Learning, Sparse and Compressive Sensing Techniques, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Shallow neural networks for fluid flow reconstruction with limited sensors(2020)242 cited
- → Sparse Principal Component Analysis via Variable Projection(2020)152 cited
- → Randomized Matrix Decompositions Using R(2019)102 cited
- → Randomized low-rank Dynamic Mode Decomposition for motion detection(2016)72 cited
- → Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction(2019)69 cited
- → Randomized nonnegative matrix factorization(2018)58 cited
- → Multi-resolution Dynamic Mode Decomposition for Foreground/Background Separation and Object Tracking(2015)51 cited
- → Compressed Singular Value Decomposition for Image and Video Processing(2017)35 cited
- → Lipschitz Recurrent Neural Networks(2020)32 cited
- → Forecasting Sequential Data using Consistent Koopman Autoencoders(2020)31 cited