21 citations · 24 across the 4 of their papers we have counts for
4 papers
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
Declan A. Norton, Yuanzhao Zhang, Michelle Girvan
Machine learning techniques offer an effective approach to modeling dynamical systems solely from observed data. However, without explicit structural priors -- built-in assumptions…
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
Keshav Srinivasan, Dietmar Plenz, Michelle Girvan
Reservoir computers (RCs) provide a computationally efficient alternative to deep learning while also offering a framework for incorporating brain-inspired computational principles…
Modeling the impact of hospitalization-induced behavioral changes on SARS-COV-2 spread in New York City
Alice Oveson, Michelle Girvan, Abba Gumel
A novel behavior-epidemiology model, which considers heterogeneous behavioral groups based on level of risk tolerance and distinguishes behavioral changes by social and disease…
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems
Ravi Chepuri, Dael Amzalag, Thomas Antonsen +1
Reservoir computers (RCs) are powerful machine learning architectures for time series prediction. Recently, next generation reservoir computers (NGRCs) have been introduced, offeri…