arXiv (OAI Expanded)
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Diffusion learning reveals viable parameter manifolds and compensation geometry in biological dynamical systems
Models of complex systems often have many parameters, yet are constrained by far fewer experimentally accessible observables; consequently, similar activity can emerge from coordinated parameter changes. We formalize these compatible parameter sets as \emph{viable parameter manifolds}: the inverse i
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