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
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization Michal Balcerak Tamaz Amiranashvili Andreas Wagner Jonas Weidner Petr Karnakov Johannes C. Paetzold Ivan Ezhov Petros Koumoutsakos Benedikt Wiestler Bjoern H. Menze AI4CE 22 2 0 30 Sep 2024
Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis Yesom Park Changhoon Song Myungjoo Kang 28 2 0 30 Sep 2024
SetPINNs: Set-based Physics-informed Neural Networks M. Nagda Phil Ostheimer Thomas Specht Frank Rhein F. Jirasek Stephan Mandt Marius Kloft Sophie Fellenz 3DPC PINN 46 0 0 30 Sep 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Youngsik Hwang Dong-Young Lim AI4CE 30 2 0 27 Sep 2024
Scientific Machine Learning Seismology Tomohisa Okazaki PINN AI4CE 48 0 0 27 Sep 2024
Physics-aligned Schrödinger bridge Zeyu Li Hongkun Dou Shen Fang Wang Han Yue Deng Lijun Yang AI4CE DiffM 30 0 0 26 Sep 2024
Robust Neural IDA-PBC: passivity-based stabilization under approximations Santiago Sanchez-Escalonilla Samuele Zoboli B. Jayawardhana 23 1 0 24 Sep 2024
Physics-informed kernel learning Nathan Doumèche Francis Bach Gérard Biau Claire Boyer PINN 37 2 0 20 Sep 2024
Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck Arno Solin Theodoros Damoulas 31 0 0 20 Sep 2024
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition Milad Ramezankhani Rishi Parekh A. Deodhar Dagnachew Birru AI4CE 34 0 0 13 Sep 2024
Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker Xingpeng Xia Jason J. Choi Ayush Agrawal K. Sreenath Claire J. Tomlin Somil Bansal 21 0 0 10 Sep 2024
Component Fourier Neural Operator for Singularly Perturbed Differential Equations Ye Li Ting Du Yiwen Pang Zhongyi Huang 21 1 0 07 Sep 2024
General-Kindred Physics-Informed Neural Network to the Solutions of Singularly Perturbed Differential Equations Sen Wang Peizhi Zhao Qinglong Ma Tao Song PINN 23 3 0 27 Aug 2024
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment Inass Soukarieh Gerhard Hessler Hervé Minoux Marcel Mohr Friedemann Schmidt Jan Wenzel Pierre Barbillon Hugo Gangloff Pierre Gloaguen 34 0 0 26 Aug 2024
Functional Tensor Decompositions for Physics-Informed Neural Networks Sai Karthikeya Vemuri Tim Buchner Julia Niebling Joachim Denzler PINN 40 4 0 23 Aug 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs Woojin Cho Minju Jo Haksoo Lim Kookjin Lee Dongeun Lee Sanghyun Hong Noseong Park PINN AI4CE 40 16 1 18 Aug 2024
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective Taeyoung Kim Myungjoo Kang 30 0 0 04 Aug 2024
NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements K. Shukla Zongren Zou Chi Hin Chan Additi Pandey Zhicheng Wang George Karniadakis PINN 52 7 0 30 Jul 2024
Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions Mohan Ren Zhihao Fang Keren Li Anirbit Mukherjee PINN AI4CE 53 0 0 30 Jul 2024
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography Vincent C. Scholz Yaohua Zang P. Koutsourelakis 41 3 0 30 Jul 2024
A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems Lorenzo Brevi Antonio Mandarino Enrico Prati 16 3 0 30 Jul 2024
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling Pu Ren R. Nakata Maxime Lacour Ilan Naiman Nori Nakata ... Osman Asif Malik Dmitriy Morozov Omri Azencot N. Benjamin Erichson Michael W. Mahoney AI4CE 32 8 0 21 Jul 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics Matthias Karlbauer Danielle C. Maddix Abdul Fatir Ansari Boran Han Gaurav Gupta Yuyang Wang Andrew Stuart Michael W. Mahoney AI4TS 56 1 0 19 Jul 2024
Base Models for Parabolic Partial Differential Equations Xingzi Xu Ali Hasan Jie Ding Vahid Tarokh 45 1 0 17 Jul 2024
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity Honghui Du Binyao Guo QiZhi He AI4CE 38 0 0 15 Jul 2024
Dynamical Measure Transport and Neural PDE Solvers for Sampling Jingtong Sun Julius Berner Lorenz Richter Marius Zeinhofer Johannes Müller Kamyar Azizzadenesheli Anima Anandkumar OT DiffM 39 8 0 10 Jul 2024
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N. McGreivy Ammar Hakim AI4CE 34 43 0 09 Jul 2024
Parsimonious Universal Function Approximator for Elastic and Elasto-Plastic Cavity Expansion Problems Xiao-Xuan Chen Pin Zhang Hai-Sui Yu Zhen-Yu Yin Brian Sheil 21 0 0 08 Jul 2024
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis Alejandro Ribés Nawfal Benchekroun Théo Delagnes AI4CE 46 1 0 27 Jun 2024
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations Aditya Kashi Arka Daw Muralikrishnan Gopalakrishnan Meena Hao Lu AI4CE 34 2 0 24 Jun 2024
An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study Milad Ramezankhani A. Deodhar Rishi Parekh Dagnachew Birru AI4CE 47 3 0 20 Jun 2024
Error Analysis and Numerical Algorithm for PDE Approximation with Hidden-Layer Concatenated Physics Informed Neural Networks Yianxia Qian Yongchao Zhang Suchuan Dong PINN 37 0 0 10 Jun 2024
A Low Rank Neural Representation of Entropy Solutions Donsub Rim Gerrit Welper 29 1 0 09 Jun 2024
Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics D. V. Cuong Branislava Lalić Mina Petrić Binh Nguyen M. Roantree PINN AI4CE 47 2 0 07 Jun 2024
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations Jan Hagnberger Marimuthu Kalimuthu Daniel Musekamp Mathias Niepert AI4TS AI4CE 47 5 0 06 Jun 2024
Solving Poisson Equations using Neural Walk-on-Spheres Hong Chul Nam Julius Berner Anima Anandkumar 34 3 0 05 Jun 2024
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine Samuel J. Baker Michael A. Hobley Isabel Scherl Xiaohang Fang Felix C. P. Leach M. Davy AI4CE 33 0 0 05 Jun 2024
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks K. Shukla Juan Diego Toscano Zhicheng Wang Zongren Zou George Karniadakis 45 74 0 05 Jun 2024
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation Madison Cooley Shandian Zhe Robert M. Kirby Varun Shankar 59 1 0 04 Jun 2024
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation Zhiqiang Cai Yu Cao Yuanfei Huang Xiang Zhou DiffM 58 0 0 29 May 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 39 3 0 29 May 2024
BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics Hao Wu Xingjian Shi Ziyue Huang Penghao Zhao Wei Xiong Jinbao Xue Yangyu Tao Xiaomeng Huang Weiyan Wang AI4TS 58 1 0 27 May 2024
Physics informed cell representations for variational formulation of multiscale problems Yuxiang Gao Soheil Kolouri R. Duddu AI4CE 32 0 0 27 May 2024
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks Felix Dangel Johannes Müller Marius Zeinhofer ODL 31 6 0 24 May 2024
RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu Huakun Luo Yuezhou Ma Jianmin Wang Mingsheng Long AI4CE 34 7 0 23 May 2024
Neural Networks-based Random Vortex Methods for Modelling Incompressible Flows Vladislav Cherepanov Sebastian W. Ertel 18 0 0 22 May 2024
Differential Walk on Spheres Bailey Miller Rohan Sawhney Keenan Crane Ioannis Gkioulekas 56 2 0 21 May 2024
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation Guojun Liang Prayag Tiwari Slawomir Nowaczyk Stefan Byttner AI4TS AI4CE 58 3 0 16 May 2024
PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs Simone Brivio S. Fresca Andrea Manzoni AI4CE 38 6 0 14 May 2024
Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be? Jorge F. Urbán P. Stefanou José A. Pons PINN 45 6 0 07 May 2024