How plausible is it to use autoencoders for estimating intrinsic dimension of a dataset and then use in combination with the linked measure of task generalization difficulty to help determine task dependencies in the skill tree? [papers below]

[TimeDelta]

I'm talking about combining these two papers:

• Dimension Estimation Using Autoencoders
• Model-Agnostic Measure of Generalization Difficulty