Michelle Girvan
University of Maryland
H-index: 33
North America-United States
Top articles of Michelle Girvan
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems
arXiv preprint arXiv:2403.18953
2024/3/4
Michelle Girvan
H-Index: 24
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing
Neural Networks
2024/2/1
Predicting spatio-temporal patterns of cells guided by time-varying guidance cues with reservoir computing
APS March Meeting Abstracts
2023
t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks
2023/9/22
Michelle Girvan
H-Index: 24
Deep-readout random recurrent neural networks for real-world temporal data
SN Computer Science
2022/5
Parallel machine learning for forecasting the dynamics of complex networks
Physical Review Letters
2022/4/20
Myc Amplifies Gene Expression Through Global Changes in Transcription Factor Dynamics
Cell Reports
2022
Michelle Girvan
H-Index: 24
A meta-learning approach to reservoir computing: Time series prediction with limited data
arXiv preprint arXiv:2110.03722
2021/10/7
Michelle Girvan
H-Index: 24
An integrated model for interdisciplinary graduate education: Computation and mathematics for biological networks
Plos one
2021/9/28
Daniel Serrano
H-Index: 8
Michelle Girvan
H-Index: 24
Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components
Chaos: An Interdisciplinary Journal of Nonlinear Science
2021/5/1
Phase transitions and assortativity in models of gene regulatory networks evolved under different selection processes
Journal of the Royal Society Interface
2021/4/14
Michelle Girvan
H-Index: 24
Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate, regime transitions, and the effect of stochasticity
Chaos: An Interdisciplinary Journal of Nonlinear Science
2021/3/1
Opening the black box: Improving knowledge-free machine learning with knowledge-based models
APS March Meeting Abstracts
2021
Michelle Girvan
H-Index: 24
Hybrid Backpropagation Parallel Reservoir Networks
arXiv preprint arXiv:2010.14611
2020/10/27
Identifying and predicting Parkinson’s disease subtypes through trajectory clustering via bipartite networks
PloS one
2020/6/17
Sanjukta Krishnagopal
H-Index: 4
Michelle Girvan
H-Index: 24
Critical network cascades with re-excitable nodes: Why treelike approximations usually work, when they break down, and how to correct them
Physical Review E
2020/6/8
Backpropagation algorithms and reservoir computing in recurrent neural networks for the forecasting of complex spatiotemporal dynamics
Neural Networks
2020/6/1
Brian R Hunt
H-Index: 33
Michelle Girvan
H-Index: 24
Edward Ott
H-Index: 49
Petros Koumoutsakos
H-Index: 49
Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems
Chaos: An Interdisciplinary Journal of Nonlinear Science
2020/5/1
Separation of chaotic signals by reservoir computing
Chaos: An Interdisciplinary Journal of Nonlinear Science
2020/2/1
Sanjukta Krishnagopal
H-Index: 4
Michelle Girvan
H-Index: 24
Edward Ott
H-Index: 49
Brian R Hunt
H-Index: 33
Co-Authors
