RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization

1 code implementation • 12 Jul 2022 • Hayden Joy, Marios Mattheakis, Pavlos Protopapas

However, RC adoption has lagged other neural network models because of the model's sensitivity to its hyper-parameters (HPs).

One-Shot Transfer Learning of Physics-Informed Neural Networks

1 code implementation • 21 Oct 2021 • Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen Roberts

In this study, we present a general framework for transfer learning PINNs that results in one-shot inference for linear systems of both ordinary and partial differential equations.

Transfer Learning

Unsupervised Reservoir Computing for Solving Ordinary Differential Equations

1 code implementation • 25 Aug 2021 • Marios Mattheakis, Hayden Joy, Pavlos Protopapas

A closed-form formula for the optimal output weights is derived to solve first order linear equations in a backpropagation-free learning process.

Bayesian Optimization