Proves mean-field limit and propagation of chaos for gradient-flow trained mixtures of experts with explicit rate depending only on expert count, applied to quantum neural networks.
Graham , Mckean-vlasov itô-skorohod equations, and nonlinear diffu sions with discrete jump sets , Stochastic pro- cesses and their applications, 40 (1992), pp
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Mean-field limit from general mixtures of experts to quantum neural networks
Proves mean-field limit and propagation of chaos for gradient-flow trained mixtures of experts with explicit rate depending only on expert count, applied to quantum neural networks.