no code implementations • 4 Jun 2024 • Madison Cooley, Shandian Zhe, Robert M. Kirby, Varun Shankar
We present polynomial-augmented neural networks (PANNs), a novel machine learning architecture that combines deep neural networks (DNNs) with a polynomial approximant.
1 code implementation • 8 Nov 2023 • Shikai Fang, Madison Cooley, Da Long, Shibo Li, Robert Kirby, Shandian Zhe
Machine learning based solvers have garnered much attention in physical simulation and scientific computing, with a prominent example, physics-informed neural networks (PINNs).