Variational inference with NoFAS: normalizing flow with adaptive surrogate for computationally expensive models

DOI10.1016/j.jcp.2022.111454OpenAlexW3198583459MaRDI QIDQ2162034

Yanyan Li

Publication date: 5 August 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2108.12657

zbMATH Keywords

variational inferencenormalizing flowadaptive surrogate modelingalternated gradient-based optimizationmemory-aware loss function

Mathematics Subject Classification ID

Stochastic analysis (60Hxx) Numerical methods for partial differential equations, boundary value problems (65Nxx) Probabilistic methods, stochastic differential equations (65Cxx)

Related Items (2)

NoFAS ⋮ A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows

Uses Software

• SUMO
• GitHub
• DREAM
• Glow
• MADE
• NUTS

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