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1
A Machine Learning‐Based Global Atmospheric Forecast Model
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A Machine Learning‐Based Global Atmospheric Forecast Model

Arcomano, Troy ; Szunyogh, Istvan ; Pathak, Jaideep ; Wikner, Alexander ; Hunt, Brian R. ; Ott, Edward

Geophysical research letters, 2020-05, Vol.47 (9), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems
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Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems

Wikner, Alexander ; Pathak, Jaideep ; Hunt, Brian ; Girvan, Michelle ; Arcomano, Troy ; Szunyogh, Istvan ; Pomerance, Andrew ; Ott, Edward

Chaos (Woodbury, N.Y.), 2020-05, Vol.30 (5), p.053111-053111 [Periódico revisado por pares]

Melville: American Institute of Physics

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A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component
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A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component

Arcomano, Troy ; Szunyogh, Istvan ; Wikner, Alexander ; Hunt, Brian R. ; Ott, Edward

Geophysical research letters, 2023-04, Vol.50 (8), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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4
Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components
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Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components

Wikner, Alexander ; Pathak, Jaideep ; Hunt, Brian R. ; Szunyogh, Istvan ; Girvan, Michelle ; Ott, Edward

Chaos (Woodbury, N.Y.), 2021-05, Vol.31 (5), p.053114-053114 [Periódico revisado por pares]

Melville: American Institute of Physics

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Data-informed reservoir computing for efficient time-series prediction
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Data-informed reservoir computing for efficient time-series prediction

Köster, Felix ; Patel, Dhruvit ; Wikner, Alexander ; Jaurigue, Lina ; Lüdge, Kathy

Chaos (Woodbury, N.Y.), 2023-07, Vol.33 (7) [Periódico revisado por pares]

United States: American Institute of Physics

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A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model
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A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model

Arcomano, Troy ; Szunyogh, Istvan ; Wikner, Alexander ; Pathak, Jaideep ; Hunt, Brian R. ; Ott, Edward

Journal of advances in modeling earth systems, 2022-03, Vol.14 (3), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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7
Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model
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Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

Pathak, Jaideep ; Wikner, Alexander ; Fussell, Rebeckah ; Chandra, Sarthak ; Hunt, Brian R. ; Girvan, Michelle ; Ott, Edward

Chaos (Woodbury, N.Y.), 2018-04, Vol.28 (4), p.041101-041101 [Periódico revisado por pares]

United States

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8
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing
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Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing

Wikner, Alexander ; Harvey, Joseph ; Girvan, Michelle ; Hunt, Brian R. ; Pomerance, Andrew ; Antonsen, Thomas ; Ott, Edward

Neural networks, 2024-02, Vol.170, p.94-110 [Periódico revisado por pares]

United States: Elsevier Ltd

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Attention-Based Ensemble Pooling for Time Series Forecasting
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Attention-Based Ensemble Pooling for Time Series Forecasting

Patel, Dhruvit ; Wikner, Alexander

arXiv.org, 2023-10

Ithaca: Cornell University Library, arXiv.org

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10
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
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Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization

Wikner, Alexander ; Harvey, Joseph ; Girvan, Michelle ; Hunt, Brian R ; Pomerance, Andrew ; Antonsen, Thomas ; Ott, Edward

arXiv.org, 2022-12

Ithaca: Cornell University Library, arXiv.org

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