neural network and do gradient based inference on the last layer and only have a single set of parameters similar to theta G for all the other layers and also we could use something like an ensemble of mammals ensemble of méditerranée all networks that allows us to represent basically particles of the distribution and both of these were proposed by Kim at all in 2018 know one thing you might ask is well can we can we get some kind of the benefits of both of these can we model both a non Gaussian posterior and do so over all of