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Hamiltonian Neural Networks for Solving Differential Equations
The Hamiltonian neural network architecture is used to solve DE systems. The Hamiltonian NN is an evolution of previously used unsupervised NNs for finding solutions to DEs that... -
Bayesian polynomial neural ODEs
The dataset used in the paper is a collection of noisy time series data for the Lotka-Volterra oscillator, damped oscillator, and Lorenz attractor. -
Elvet dataset
The dataset used in the paper is a collection of training examples for the Elvet package, which is used to solve differential equations and variational problems.
