Energy-based models can be useful for tasks requiring only pairwise comparisons, since they can provide relative scores without generating data points.

“Namely kind of the the very big one is you can do kind of comparisons between data points. Right because like there is let's say there's effectively an unknown scale in set energy-based models. But what you can do is you can effectively still go and say well this point is that's a three times as likely as this other point by just effectively computing the ratio. And if you just need this so if you have a problem where effectively you just need pairwise comparisons,”

“then energy based models can be quite good. Uh you effectively you don't need to generate data points to uh produce something like let's say not a likelihood but something like an an a score or like score is also maybe a bad word because it's also inference coded. But”