Failure-informed adaptive sampling for PINNs

1 October 2022

Papers citing "Failure-informed adaptive sampling for PINNs"

31 / 31 papers shown

Title
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 41 0 0 02 May 2025
Integration Matters for Learning PDEs with Backwards SDEs Sungje Park Stephen Tu PINN 65 0 0 02 May 2025
Sub-Sequential Physics-Informed Learning with State Space Model Chenhui Xu Dancheng Liu Yuting Hu Jiajie Li Ruiyang Qin Qingxiao Zheng Jinjun Xiong AI4CE PINN 268 0 0 01 Feb 2025
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Yueyang Wang Kejun Tang Xili Wang Xiaoliang Wan Weiqing Ren Chao Yang 42 0 0 28 Jan 2025
Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis Yesom Park Changhoon Song Myungjoo Kang 28 2 0 30 Sep 2024
Frequency-adaptive Multi-scale Deep Neural Networks Jizu Huang Rukang You Tao Zhou AI4CE 38 1 0 28 Sep 2024
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems Amanda A. Howard Bruno Jacob Sarah H. Murphy Alexander Heinlein P. Stinis AI4CE 51 27 0 28 Jun 2024
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN) Chenhao Si Ming Yan AI4CE PINN 46 3 0 05 Jun 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks R. Mattey Susanta Ghosh AI4CE 48 1 0 09 May 2024
Accurate adaptive deep learning method for solving elliptic problems Jingyong Ying Yaqi Xie Jiao Li Hongqiao Wang 45 1 0 29 Apr 2024
Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs Jose Florido He Wang Amirul Khan P. Jimack 41 2 0 18 Apr 2024
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet Lingfeng Li Xue-Cheng Tai Raymond H. F. Chan 41 1 0 29 Feb 2024
Deep adaptive sampling for surrogate modeling without labeled data Xili Wang Keju Tang Jiayu Zhai Xiaoliang Wan Chao Yang 40 2 0 17 Feb 2024
Resolution invariant deep operator network for PDEs with complex geometries Jianguo Huang Yue Qiu 32 0 0 01 Feb 2024
Mitigating distribution shift in machine learning-augmented hybrid simulation Jiaxi Zhao Qianxiao Li 41 3 0 17 Jan 2024
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks Amanda A. Howard Sarah H. Murphy Shady E. Ahmed P. Stinis AI4CE 58 18 0 11 Nov 2023
Adaptive importance sampling for Deep Ritz Xiaoliang Wan Tao Zhou Yuancheng Zhou 31 2 0 26 Oct 2023
Adversarial Training for Physics-Informed Neural Networks Yao Li Shengzhu Shi Zhichang Guo Boying Wu AAML PINN 35 0 0 18 Oct 2023
Correcting model misspecification in physics-informed neural networks (PINNs) Zongren Zou Xuhui Meng George Karniadakis PINN 31 41 0 16 Oct 2023
PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations R. Gao Yufeng Wang Min Yang Chuanjun Chen GAN 34 2 0 21 Jul 2023
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil Rahul Sundar Dipanjan Majumdar Didier Lucor Sunetra Sarkar PINN AI4CE 35 6 0 23 Jun 2023
Efficient Training of Physics-Informed Neural Networks with Direct Grid Refinement Algorithm Shikhar Nilabh F. Grandia 52 1 0 14 Jun 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions Ben Adcock Juan M. Cardenas N. Dexter 34 6 0 01 Jun 2023
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs Keju Tang Jiayu Zhai Xiaoliang Wan Chao Yang 36 8 0 30 May 2023
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems Ce Zhang Kailiang Wu Zhihai He 35 0 0 15 Apr 2023
A multifidelity approach to continual learning for physical systems Amanda A. Howard Yucheng Fu P. Stinis AI4CE CLL 50 8 0 08 Apr 2023
GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs Yuling Jiao Dingwei Li Xiliang Lu J. Yang Cheng Yuan 39 9 0 28 Mar 2023
Physics-aware deep learning framework for linear elasticity Anisha Roy Rikhi Bose AI4CE 40 8 0 19 Feb 2023
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning Ling Guo Hao Wu Wenwen Zhou Yan Wang Tao Zhou UQCV 34 11 0 07 Feb 2023
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation Zhi-Hao Gao Tao Tang Liang Yan Tao Zhou 42 18 0 03 Feb 2023
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 42 93 0 19 Oct 2021