Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to interpret the level of spillover effects between different matrix elements. This process improves our knowledge of how information propagates within neural networks, leading to more… Read More