AIBullisharXiv – CS AI · Mar 37/105
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CHLU: The Causal Hamiltonian Learning Unit as a Symplectic Primitive for Deep Learning
Researchers propose the Causal Hamiltonian Learning Unit (CHLU), a physics-based deep learning primitive that addresses stability issues in temporal dynamics models. The CHLU uses symplectic integration and Hamiltonian structure to maintain infinite-horizon stability while preserving information, potentially solving the memory-stability trade-off in neural networks.