Bayesian polynomial neural networks and polynomial neural ordinary differential equations
Fig 5
For the univariate cubic polynomial f(x) = 1 + x + 2x2 + 4x3, a third order Bayesian polynomial neural network was trained with Markov Chain Monte Carlo.
To show sufficient Markov Chain length, we show the results of MCMC for the following sample sizes: a.) 500 samples, b) 1000 samples, and c) 10000 samples.