研究人员开发了一个新框架，将受物理学启发的学习算法平衡传播（EP）扩展到非保守系统。这一进展使得EP可以应用于先前受限于非互易相互作用的系统。所提出的方法修改了学习动力学，以准确计算成本函数的梯度，从而与早期方法相比，实现了更好的性能和更快的学习。 AI
排序理由 这是一篇详细介绍新算法框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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平衡传播扩展到非保守系统
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- 这是一篇详细介绍新算法框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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非保守系统的平衡传播
arXiv:2602.03670v2 Announce Type: replace-cross Abstract: Equilibrium Propagation (EP) is a physics-inspired learning algorithm that uses stationary states of a dynamical system both for inference and learning. In its original formulation it is limited to conservative systems, $\…