flow let's say we want to code X so why not just compute Z when that just compute Z by passing it through the flow and coding back using the prior so so maybe that's very simple but unfortunately doesn't work so you can just write down the code link that you get it's just negative log P of Z times let's say Delta but if a flow model is its trained well then the distribution of Z's will match the prior so you end up just let's say the prior is Gaussian so you end up coding Gaussian noise using a Gaussian prior so that's no