conftrace_

physics-informed neural network

97 papers

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Also known as

PINNS PINN

Co-occurring keywords

partial differential equation (222) neural network optimization (1293) inductive bia (272) differential equation (56) dynamical system (398) neural ordinary differential equation (139) operator learning (48) ordinary differential equation (139) gradient descent (1144) automatic differentiation (77)

Papers

How does PDE order affect the convergence of PINNs? NIPS 2024
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks NIPS 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NIPS 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NIPS 2024
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure IJCAI 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024
Learning Reduced Fluid Dynamics AAAI 2024
Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NIPS 2024
Learning “look-ahead” nonlocal traffic dynamics in a ring road L4DC 2024
Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024
Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024
Hamiltonian GAN L4DC 2024
Invariant Physics-Informed Neural Networks for Ordinary Differential Equations JMLR 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks JMLR 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NIPS 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NIPS 2024
Improving physics-informed neural networks with meta-learned optimization JMLR 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks NIPS 2024
RoPINN: Region Optimized Physics-Informed Neural Networks NIPS 2024