Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks
cs.LG, cs.NA, math.NA
Submitted: 2026-10-06
Updated: 2026-10-06
Terminology
Sources
- INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations
- Reduced-order modeling for parameterized PDEs via implicit neural representations
- Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
- A Neural Latent Dynamics Approach for Solving Inverse Problems in Cardiac Electrophysiology
- Parametric Taylor series based latent dynamics identification neural networks
- Parameterized Temporal Extrapolation of PDEs via Disentangled Latent Dynamics Manifold Fusion
- LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics
- Adam: A Method for Stochastic Optimization
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