Edward Ott
Orcid: 0000-0002-9395-5062
According to our database1,
Edward Ott
authored at least 26 papers
between 1996 and 2022.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 1995, "".
Timeline
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Bibliography
2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization.
CoRR, 2022
Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems.
CoRR, 2022
2021
Proceedings of the Reservoir Computing, 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
Link inference of noisy delay-coupled networks: Machine learning and opto-electronic experimental tests.
CoRR, 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems.
CoRR, 2020
2019
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links.
CoRR, 2019
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms.
CoRR, 2019
2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model.
CoRR, 2018
2014
2013
PLoS Comput. Biol., 2013
2009
Int. J. Bifurc. Chaos, 2009
2008
2006
2004
Int. J. Bifurc. Chaos, 2004
2000
Exploiting Synchronization to Combat Channel distortions in Communication with Chaotic Systems.
Int. J. Bifurc. Chaos, 2000
1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1996
Chaotic Behavior of Deterministic Dissipative Systems (Milos Marek and Igor Schreiber).
SIAM Rev., 1996