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Efficient Bayesian inference using physics-informed invertible neural
  networks for inverse problems

Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems

25 April 2023
Xiaofei Guan
Xintong Wang
Hao Wu
Zihao Yang
Peng Yu
    PINN
ArXivPDFHTML

Papers citing "Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems"

3 / 3 papers shown
Title
Mollifier Layers: Enabling Efficient High-Order Derivatives in Inverse PDE Learning
Mollifier Layers: Enabling Efficient High-Order Derivatives in Inverse PDE Learning
Ananyae Kumar Bhartari
Vinayak Vinayak
Vivek B Shenoy
AI4CE
7
0
0
16 May 2025
Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers
Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers
Daniil Sherki
Ivan Oseledets
Ekaterina Muravleva
67
0
0
03 Mar 2025
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
186
761
0
13 Mar 2020
1