When deploying machine learning estimators in science and engineering (SAE) domains, it is critical to avoid failed estimations that can have disastrous consequences, e.g., in aero engine design.

Sampling from a complex distributionπ and approximating its intractable normalizing constantZ are challenging problems.

Can't wait to see the second movie! The first two lines are two demonstrations, and the third line is a test input.