AI RESEARCH
Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization
arXiv CS.LG
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ArXi:2604.05042v1 Announce Type: new Recent advances at the intersection of control theory, neuroscience, and machine learning have revealed novel mechanisms by which dynamical systems perform computation. These advances encompass a wide range of conceptual, mathematical, and computational ideas, with applications for model learning and