Edward Ott
University of Maryland
H-index: 125
North America-United States
Top articles of Edward Ott
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing | Neural Networks | Alexander Wikner Joseph Harvey Michelle Girvan Brian R Hunt Andrew Pomerance | 2024/2/1 |
Time-Domain Generalization of the Random-Coupling Model and Experimental Verification in a Complex Scattering System | Physical Review Applied | Shukai Ma Thomas M Antonsen Steven M Anlage | 2023/6/16 |
A hybrid atmospheric model incorporating machine learning can capture dynamical processes not captured by its physics‐based component | Geophysical Research Letters | Troy Arcomano Istvan Szunyogh Alexander Wikner Brian R Hunt Edward Ott | 2023/4/28 |
Deviations From the Random Plane Wave Field Distribution in Electromagnetic Enclosures | IEEE Transactions on Electromagnetic Compatibility | Farasatul Adnan Steven M Anlage Thomas M Antonsen Edward Ott | 2023/3/29 |
Network inference from short, noisy, low time-resolution, partial measurements: Application to C. elegans neuronal calcium dynamics | Proceedings of the National Academy of Sciences | Amitava Banerjee Sarthak Chandra Edward Ott | 2023/3/21 |
INAUGURAL ARTICLE by a Recently Elected Academy Member: Network inference from short, noisy, low time-resolution, partial measurements: Application to C. elegans neuronal … | Proceedings of the National Academy of Sciences of the United States of America | Tori M Hoehler Dylan J Mankel Peter R Girguis Thomas M McCollom Nancy Y Kiang | 2023/6/6 |
Using Machine Learning To Anticipate Tipping Points and To Extrapolate To Post-Tipping Point Dynamics of Non-Stationary Dynamical Systems | Dhruvit Patel Edward Ott | 2023/8/1 | |
Inference of C. elegans neural network structure from calcium flurescence time series data with reservoir computing | Bulletin of the American Physical Society | Amitava Banerjee Sarthak Chandra Edward Ott | 2022/3/14 |
Eigenfunction and eigenmode-spacing statistics in chaotic photonic crystal graphs | Physical Review E | Shukai Ma Thomas M Antonsen Steven M Anlage | 2022/11/30 |
Short-wavelength reverberant wave systems for physical realization of reservoir computing | Physical Review Research | Shukai Ma Thomas M Antonsen Steven M Anlage Edward Ott | 2022/5/31 |
Parallel machine learning for forecasting the dynamics of complex networks | Physical Review Letters | Keshav Srinivasan Nolan Coble Joy Hamlin Thomas Antonsen Edward Ott | 2022/4/20 |
A hybrid approach to atmospheric modeling that combines machine learning with a physics‐based numerical model | Journal of Advances in Modeling Earth Systems | Troy Arcomano Istvan Szunyogh Alexander Wikner Jaideep Pathak Brian R Hunt | 2022/3 |
Deep-learning estimation of complex reverberant wave fields with a programmable metasurface | Physical Review Applied | Benjamin W Frazier Thomas M Antonsen Jr Steven M Anlage Edward Ott | 2022/2/9 |
Machine-Learning-Assisted Hybrid Earth System Modelling | Istvan Szunyogh Edward Ott Brian Hunt | 2021/4/15 | |
Experimental Realization of Reservoir Computing with Wave Chaotic Systems | APS March Meeting Abstracts | Shukai Ma Thomas Antonsen Edward Ott Steven Anlage | 2021 |
Deep wavefront shaping: Intelligent control of complex scattering responses with a programmable metasurface | Benjamin Frazier Thomas Antonsen Steven Anlage Edward Ott | 2021 | |
Evaluation of a Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a General Circulation Model | AGU Fall Meeting Abstracts | Troy Arcomano Istvan Szunyogh Alexander Wikner Jaideep Pathak Brian Hunt | 2021/12 |
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 | Dhruvit Patel Daniel Canaday Michelle Girvan Andrew Pomerance Edward Ott | 2021/3/1 |
The science of electronics in extreme electromagnetic environments I-enclosure coupling | Sameer Hemmady Edl Schamiloglu Payman Zarkesh-Ha Ganesh Balakrishnan Greg Heileman | 2021/1/4 | |
Neuromorphics for network inference: new techniques and validation in opto-electronic experiments | APS March Meeting Abstracts | Amitava Banerjee Joseph Hart Rajarshi Roy Edward Ott | 2021 |
Co-Authors
