The Mechanics of Delta Learning: Target Design for Generalizable Scientific Machine Learning
Materials
Investigates the relationship between residual scale and learnability in Δ-learning, demonstrating through molecular graph neural network evaluation on total energy targets that smaller residual targets do not necessarily yield better learning outcomes.
See LICENSE file Delta learningresidual learningmolecular graph neural network