Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

By demonstrating that global interpretability methods can meaningfully reduce the black-box nature of deep learning in finance, the study provides a pathway toward more transparent, trustworthy, and ...

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...