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

13 March 2020

George Karniadakis

Papers citing "B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data"

10 / 10 papers shown

Title
Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks Mehran Mazandarani Marzieh Najariyan PINN AI4CE 17 0 0 02 May 2025
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing D. Patel R. Sharma Y.B. Guo AI4CE PINN 17 0 0 02 May 2025
RINN: One Sample Radio Frequency Imaging based on Physics Informed Neural Network Fei Shang Haohua Du Dawei Yan Panlong Yang X. Li 26 0 0 19 Apr 2025
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble Zongren Zou Zhicheng Wang George Karniadakis PINN AI4CE 55 2 0 08 Mar 2025
Physics-informed deep learning for infectious disease forecasting Y. Qian Éric Marty Avranil Basu Avranil Basu Eamon B. O'Dea Xianqiao Wang Spencer Fox Pejman Rohani John M. Drake He Li PINN AI4CE 65 2 0 16 Jan 2025
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems Sumanth Kumar Boya Deepak Subramani AI4CE 83 0 0 12 Dec 2024
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics Rodrigo Carmo Terin PINN 34 1 0 04 Nov 2024
Scientific Machine Learning Seismology Tomohisa Okazaki PINN AI4CE 39 0 0 27 Sep 2024
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise Yilong Hou Xi’an Li Jinran Wu You-Gan Wang 58 1 0 18 Aug 2024
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 8,157 0 06 Jun 2015