PIDO trains an auto-decoded latent-space dynamics model with physics-informed losses and two regularizers, reporting lower errors on unseen initial conditions, coefficients, and time horizons than PI-DeepONet, PINODE, and MAD.
The deep ritz method: a deep learning-based numerical algo- rithm for solving variational problems,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Advancing Generalization in PINNs through Latent-Space Representations
PIDO trains an auto-decoded latent-space dynamics model with physics-informed losses and two regularizers, reporting lower errors on unseen initial conditions, coefficients, and time horizons than PI-DeepONet, PINODE, and MAD.