Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent

Guillaume Larue, Louis-Adrien Dufrène, Quentin Lampin +2

Parity functions are fundamental Boolean operations with critical applications across machine learning, cryptography, and error correction. Yet, learning high-dimensional parity fu…