Modern Hopfield Networks Require Chain-of-Thought to Solve ${\mathsf{NC}}^1$-Hard Problems

Yang Cao, Xiaoyu Li, Yuanpeng Li +3

Modern Hopfield Networks (MHNs) have emerged as powerful components in deep learning, serving as effective replacements for pooling layers, LSTMs, and attention mechanisms. While r…