DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses

Kyum Kim, Yaqing Chen, Paromita Dubey

Regression with non-Euclidean responses -- e.g., probability distributions, networks, symmetric positive-definite matrices, and compositions -- has become increasingly important in…