Thermodynamics-inspired explanations of artificial intelligence | Nature Communications

Summary

The article discusses applying machine learning to develop interpretable surrogate models. It connects with concepts like algebraic topology, sheaf, distribution, diffiety, and Fisher information by using advanced mathematical techniques to measure and improve the accuracy and interpretability of model predictions.