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Surrogate construction via weight parameterization of residual neural networks

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Publication:6663269
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DOI10.1016/J.CMA.2024.117468MaRDI QIDQ6663269

Oscar H. Díaz-Ibarra, Habib N. Najm, Khachik V. Sargsyan

Publication date: 14 January 2025

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)




zbMATH Keywords

neural networksurrogate modelclimateMLPresnetE3SMweight parameterization


Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Computer science (68-XX)


Cites Work

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  • A literature survey of benchmark functions for global optimisation problems
  • Learning high-dimensional parametric maps via reduced basis adaptive residual networks
  • Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning
  • Spectral Methods for Uncertainty Quantification
  • Stable architectures for deep neural networks
  • DIMENSIONALITY REDUCTION FOR COMPLEX MODELS VIA BAYESIAN COMPRESSIVE SENSING
  • Stiff neural ordinary differential equations







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