Transformers to Predict the Applicability of Symbolic Integration
Routines
Transformers to Predict the Applicability of Symbolic Integration
Routines
Symbolic integration is a fundamental problem in mathematics: we consider how machine learning may be used to optimise this task in a Computer Algebra System (CAS). We train transformers that predict whether a particular integration method will be successful, and compare against the existing human-made heuristics (called guards) that perform …