Characterizing possible failure modes in physics-informed neural networks

2 September 2021

Aditi S. Krishnapriyan

Papers citing "Characterizing possible failure modes in physics-informed neural networks"

50 / 324 papers shown

Title
Interpretable Neural PDE Solvers using Symbolic Frameworks Yolanne Yi Ran Lee AI4CE 32 0 0 31 Oct 2023
$p$ -Poisson surface reconstruction in curl-free flow from point clouds Yesom Park Taekyung Lee Jooyoung Hahn Myungjoo Kang 19 5 0 31 Oct 2023
TSONN: Time-stepping-oriented neural network for solving partial differential equations W. Cao Weiwei Zhang AI4TS 18 1 0 25 Oct 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks Woojin Cho Kookjin Lee Donsub Rim Noseong Park AI4CE PINN 37 16 0 14 Oct 2023
An operator preconditioning perspective on training in physics-informed machine learning Tim De Ryck Florent Bonnet Siddhartha Mishra Emmanuel de Bezenac AI4CE 41 14 0 09 Oct 2023
Learning to Predict Structural Vibrations J. V. Delden Julius Schultz Christopher Blech Sabine C. Langer Timo Luddecke AI4CE 26 1 0 09 Oct 2023
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels Da Long Wei W. Xing Aditi S. Krishnapriyan R. Kirby Shandian Zhe Michael W. Mahoney 18 0 0 09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp Dibyakanti Kumar Anirbit Mukherjee 31 2 0 08 Oct 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks Jules Berman Benjamin Peherstorfer 26 13 0 07 Oct 2023
Spectral operator learning for parametric PDEs without data reliance Junho Choi Taehyun Yun Namjung Kim Youngjoon Hong 19 8 0 03 Oct 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin AI4CE 22 5 0 28 Sep 2023
Neural Operators for Accelerating Scientific Simulations and Design Kamyar Azzizadenesheli Nikola B. Kovachki Zong-Yi Li Miguel Liu-Schiaffini Jean Kossaifi Anima Anandkumar AI4CE 41 122 0 27 Sep 2023
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction Keke Long Zihao Sheng Haotian Shi Xiaopeng Li Sikai Chen Sue Ahn 26 5 0 26 Sep 2023
Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method Mohannad Elhamod Anuj Karpatne 24 1 0 26 Sep 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs Xu Zhao Duzhen Zhang Liyuan Han Tielin Zhang Bo Xu 37 7 0 25 Sep 2023
Improving physics-informed DeepONets with hard constraints Rudiger Brecht D. Popovych Alexander Bihlo R. Popovych AI4CE 18 8 0 14 Sep 2023
An Extreme Learning Machine-Based Method for Computational PDEs in Higher Dimensions Yiran Wang Suchuan Dong 31 35 0 13 Sep 2023
Lie-Poisson Neural Networks (LPNets): Data-Based Computing of Hamiltonian Systems with Symmetries Christopher Eldred François Gay-Balmaz Sofiia Huraka V. Putkaradze 25 8 0 29 Aug 2023
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers Arthur Feeney Zitong Li Ramin Bostanabad Aparna Chandramowlishwaran AI4CE 16 1 0 28 Aug 2023
Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries Z. Fang Sizhuang He P. Perdikaris AI4CE 17 11 0 24 Aug 2023
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System Yongcheng Dai Bangti Jin R. Sau Zhi Zhou 40 4 0 23 Aug 2023
Neural oscillators for generalization of physics-informed machine learning Taniya Kapoor Abhishek Chandra D. Tartakovsky Hongrui Wang Alfredo Núñez R. Dollevoet AI4CE 29 11 0 17 Aug 2023
An Expert's Guide to Training Physics-informed Neural Networks Sizhuang He Shyam Sankaran Hanwen Wang P. Perdikaris PINN 28 97 0 16 Aug 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing Milad Ramezankhani A. Milani PINN 24 4 0 12 Aug 2023
Going Deeper with Five-point Stencil Convolutions for Reaction-Diffusion Equations Yongho Kim Yongho Choi 33 1 0 09 Aug 2023
Learning Specialized Activation Functions for Physics-informed Neural Networks Honghui Wang Lu Lu Shiji Song Gao Huang PINN AI4CE 16 11 0 08 Aug 2023
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems Abdeldjalil Latrach M. L. Malki Misael Morales Mohamed Mehana M. Rabiei PINN AI4CE 25 29 0 06 Aug 2023
Towards Long-Term predictions of Turbulence using Neural Operators Fernando González Franccois-Xavier Demoulin Simon Bernard AI4CE 22 0 0 25 Jul 2023
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks Leo Zhao Xueying Ding B. Prakash PINN AI4CE 15 24 0 21 Jul 2023
Multi-stage Neural Networks: Function Approximator of Machine Precision Yongjian Wang Ching-Yao Lai 48 36 0 18 Jul 2023
Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks Inbar Seroussi Asaf Miron Z. Ringel PINN 40 0 0 12 Jul 2023
Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics Stefan Hildebrand Sandra Klinge AI4CE 17 2 0 04 Jul 2023
Residual-based attention and connection to information bottleneck theory in PINNs Sokratis J. Anagnostopoulos Juan Diego Toscano Nikos Stergiopulos George Karniadakis 25 20 0 01 Jul 2023
Parameter Identification for Partial Differential Equations with Spatiotemporal Varying Coefficients Guangtao Zhang Yiting Duan Guanyu Pan Qijing Chen Huiyu Yang Zhikun Zhang 17 0 0 30 Jun 2023
Hyena Neural Operator for Partial Differential Equations Saurabh Patil Zijie Li Amir Barati Farimani AI4CE 27 4 0 28 Jun 2023
Training Deep Surrogate Models with Large Scale Online Learning Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin 3DGS AI4CE 22 4 0 28 Jun 2023
Separable Physics-Informed Neural Networks Junwoo Cho Seungtae Nam Hyunmo Yang S. Yun Youngjoon Hong Eunbyung Park PINN AI4CE 17 43 0 28 Jun 2023
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren N. Benjamin Erichson Shashank Subramanian Omer San Z. Lukić Michael W. Mahoney Michael W. Mahoney 44 13 0 24 Jun 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 25 6 0 23 Jun 2023
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs Zhongkai Hao J. Yao Chang Su Hang Su Ziao Wang ... Zeyu Xia Yichi Zhang Songming Liu Lu Lu Jun Zhu PINN 29 30 0 15 Jun 2023
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks S. Basir Inanc Senocak PINN 11 5 0 08 Jun 2023
Progressive Learning for Physics-informed Neural Motion Planning Ruiqi Ni A. H. Qureshi 13 11 0 01 Jun 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian P. Harrington Kurt Keutzer W. Bhimji Dmitriy Morozov Michael W. Mahoney A. Gholami AI4CE 28 71 0 01 Jun 2023
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding Pi-Yueh Chuang L. Barba PINN 37 10 0 31 May 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching Ilgee Hong Sen Na Michael W. Mahoney Mladen Kolar 25 3 0 28 May 2023
ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations Yaohua Zang Gang Bao 29 4 0 21 May 2023
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data Elham Kiyani K. Shukla George Karniadakis M. Karttunen 18 21 0 18 May 2023
Efficient Error Certification for Physics-Informed Neural Networks Francisco Eiras Adel Bibi Rudy Bunel Krishnamurthy Dvijotham Philip H. S. Torr M. P. Kumar PINN 26 1 0 17 May 2023
Physics Informed Token Transformer for Solving Partial Differential Equations Cooper Lorsung Zijie Li Amir Barati Farimani AI4CE 40 16 0 15 May 2023