Bifurcation models represent set-valued solution maps via weight-tied equilibrium dynamics whose attractors encode multiple solutions, with a proof that broad locally Lipschitz set-valued maps admit regular dynamical representations and experiments showing label-free discovery of multiple equilibria
6, 1085–1095
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Bifurcation Models: Learning Set-Valued Solution Maps with Weight-Tied Dynamics
Bifurcation models represent set-valued solution maps via weight-tied equilibrium dynamics whose attractors encode multiple solutions, with a proof that broad locally Lipschitz set-valued maps admit regular dynamical representations and experiments showing label-free discovery of multiple equilibria