AINeutralarXiv – CS AI · 7h ago6/10
🧠
Interpreting FCDNNs via RG on Exponential Family
Researchers establish a theoretical bridge between renormalization group (RG) methods from statistical physics and deep neural network training, proving that optimal DNN parameters correspond to RG fixed points for exponential family distributions. This work extends prior results from discrete to continuous data, providing mathematical foundation for understanding why deep learning effectively extracts features from real-world datasets.