GFlowNets depend on an assumed structure that is treated as correct, so they are not a general-purpose method of inference.

“However, you basically are back into a close to the variational nature, where effectively we'll make the assumption that you have a specific structure, and you assume that structure is correct. Which of course if you have, let's say, some like molecular problem where effectively you start building up something, it's pretty like we can assume that this process is accurate. But this is not a general way of doing inference. Right, the general way is still uh you need to do either like sampling where you have a very very general”

“general function family to actually be able to do that yeah”