Co-occurring keywords · papers mentioning both
Papers
Physics-Informed Implicit Representations of Equilibrium Network Flows
NeurIPS 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
NeurIPS 2022
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs
AAAI 2022
Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution
L4DC 2021
Characterizing possible failure modes in physics-informed neural networks
NeurIPS 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
AAAI 2021
Learning Contact Dynamics using Physically Structured Neural Networks
AISTATS 2021
SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique
ACML 2021
Soft Multicopter Control Using Neural Dynamics Identification
CoRL 2020
Hamiltonian Neural Networks
NeurIPS 2019