Archis Joglekar

Generative Neural Reparameterization for Differentiable PDE-constrained Optimization

2024 · arXiv (Cornell University)

Partial-differential-equation (PDE)-constrained optimization is a well-worn technique for acquiring optimal parameters of systems governed by PDEs. However, this approach is limited to providing a single set of optimal parameters per optimization. Given a differentiable PDE …