Training neural networks under physical constraints using a stochastic
augmented Lagrangian approach

Training neural networks under physical constraints using a stochastic augmented Lagrangian approach

15 September 2020

Choong-Seock Chang

Papers citing "Training neural networks under physical constraints using a stochastic augmented Lagrangian approach"

16 / 16 papers shown

Title
Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints Ruichuan Huang Jiawei Zhang Ahmet Alacaoglu 47 0 0 10 Apr 2025
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks Marius Almanstötter Roman Vetter Dagmar Iber PINN 32 2 0 07 Apr 2025
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 163 1 0 14 Oct 2024
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming Xiaoran Cheng Sen Na PINN 37 1 0 16 Sep 2024
Physics-Informed Neural Networks with Hard Linear Equality Constraints Hao Chen Gonzalo E. Constante-Flores Canzhou Li PINN 21 11 0 11 Feb 2024
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints Ahmet Alacaoglu Stephen J. Wright 25 10 0 01 Nov 2023
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach Diogo Mateus Lavado Cláudia Soares Alessandra Micheletti 24 1 0 25 Oct 2023
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks S. Basir Inanc Senocak PINN 19 5 0 08 Jun 2023
Invariant preservation in machine learned PDE solvers via error correction N. McGreivy Ammar Hakim AI4CE PINN 34 8 0 28 Mar 2023
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints Kaustubh Sridhar Souradeep Dutta James Weimer Insup Lee 30 7 0 02 Dec 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning Buyun Liang Tim Mitchell Ju Sun OOD 18 7 0 03 Oct 2022
Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems Oliver Schön Ricarda-Samantha Götte Julia Timmermann AI4CE 24 5 0 27 Apr 2022
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation Austin Chennault Andrey A. Popov Amit N. Subrahmanya R. Cooper Ali Haisam Muhammad Rafid Anuj Karpatne Adrian Sandu 20 10 0 16 Nov 2021
Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion S. Basir Inanc Senocak PINN AI4CE 34 68 0 30 Sep 2021
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 47 69 0 14 Sep 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 50 495 0 09 Feb 2021