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cs.LG2024
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks
Liang Cheng, Prashant Singh, Francesco Ferranti
The simulation of nanophotonic structures relies on electromagnetic solvers, which play a crucial role in understanding their behavior. However, these solvers often come with a sig…
cs.LG2023
Bayesian polynomial neural networks and polynomial neural ordinary differential equations
Colby Fronk, Jaewoong Yun, Prashant Singh +1
Symbolic regression with polynomial neural networks and polynomial neural ordinary differential equations (ODEs) are two recent and powerful approaches for equation recovery of man…