2 citations · 3 across the 3 of their papers we have counts for
3 papers
Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators
Luca Pellegrini, Massimiliano Ghiotto, Edoardo Centofanti +1
Ionic models, described by systems of stiff ordinary differential equations, are fundamental tools for simulating the complex dynamics of excitable cells in both Computational Neur…
HyperNOs: Automated and Parallel Library for Neural Operators Research
Massimiliano Ghiotto
This paper introduces HyperNOs, a PyTorch library designed to streamline and automate the process of exploring neural operators, with a special focus on hyperparameter optimization…
Learning the Hodgkin-Huxley Model with Operator Learning Techniques
Edoardo Centofanti, Massimiliano Ghiotto, Luca F. Pavarino
We construct and compare three operator learning architectures, DeepONet, Fourier Neural Operator, and Wavelet Neural Operator, in order to learn the operator mapping a time-depend…