Michelle Girvan
Orcid: 0000-0001-7519-2842Affiliations:
- University of Maryland, College Park, USA
According to our database1,
Michelle Girvan
authored at least 25 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems.
CoRR, 2024
2022
SN Comput. Sci., 2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization.
CoRR, 2022
2021
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data.
CoRR, 2021
CoRR, 2021
Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components.
CoRR, 2021
2020
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
Neural Networks, 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems.
CoRR, 2020
2019
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms.
CoRR, 2019
Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model.
CoRR, 2018
Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach.
Complex., 2018
2016
2015
Finding New Order in Biological Functions from the Network Structure of Gene Annotations.
PLoS Comput. Biol., 2015
Complexity-Regularized Regression for Serially-Correlated Residuals with Applications to Stock Market Data.
Entropy, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
2013
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin.
Proceedings of the ACM Conference on Bioinformatics, 2013