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Edward Ott

University of Maryland, College Park
Cornell University
United States Naval Research Laboratory

796

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39058

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Parallel Machine Learning for Forecasting the Dynamics of Complex Networks.

2021 arXiv: Learning
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Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticity.

2021 Chaos
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Deep Learning Estimation of Complex Reverberant Wave Fields by a Programmable Metasurface

2021 arXiv: Applied Physics
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Deep Wavefront Shaping: Intelligent Control of Complex Scattering Responses with a Programmable Metasurface.

2021 arXiv: Applied Physics
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Machine Learning Link Inference of Noisy Delay-coupled Networks with Opto-Electronic Experimental Tests.

2021 arXiv: Adaptation and Self-Organizing Systems
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Machine Learning Link Inference of Noisy Delay-Coupled Networks with Optoelectronic Experimental Tests

2021 Physical Review X
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Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components.

2021 arXiv: Learning
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Reservoir Computing for Forecasting Large Spatiotemporal Dynamical Systems

2021
- Jaideep Pathak
- Edward Ott
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Short-wavelength Reverberant Wave Systems for Enhanced Reservoir Computing

2021
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Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components

2021 Chaos
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Citations (6)