Preconditioned Physics-Informed Neural Operator Training
cs.LG, cs.NA, math.NA
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/camlab-ethz/TensorPILS
Sources
- Preconditioning and Numerical Stability in Neural Network Training for Parametric PDEs
- On the training of physics-informed neural operators for solving parametric partial differential equations
- torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Parallelism for PyTorch
- Adam: A Method for Stochastic Optimization
- Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
- Physics-informed fine-tuning of foundation models for partial differential equations
- Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm
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