Stephen G. Penny

According to our database, Stephen G. Penny authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models.

Kylen Solvik, Stephen G. Penny, Stephan Hoyer

CoRR, 2024

2023

Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence.

Timothy A. Smith, Stephen G. Penny, Jason A. Platt, Tse-Chun Chen

CoRR, 2023

Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks.

Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel

CoRR, 2023

2022

A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics.

Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel

Neural Networks, 2022

'Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form.

Tse-Chun Chen, Stephen G. Penny, Timothy A. Smith, Jason A. Platt

CoRR, 2022

2021

Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation.

Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel

CoRR, 2021

Forecasting Using Reservoir Computing: The Role of Generalized Synchronization.

Jason A. Platt, Adrian S. Wong, Randall Clark, Stephen G. Penny, Henry D. I. Abarbanel

CoRR, 2021

2019

Editorial for the Special Issue "Assimilation of Remote Sensing Data into Earth System Models".

Jean-Christophe Calvet, Patricia de Rosnay, Stephen G. Penny

Remote. Sens., 2019