16 citations · 61 across the 6 of their papers we have counts for
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Critical scaling in hidden state inference for linear Langevin dynamics
Barbara Bravi, Peter Sollich
We consider the problem of inferring the dynamics of unknown (i.e. hidden) nodes from a set of observed trajectories and study analytically the average prediction error and the typ…
Statistical physics approaches to subnetwork dynamics in biochemical systems
Barbara Bravi, Peter Sollich
We apply a Gaussian variational approximation to model reduction in large biochemical networks of unary and binary reactions. We focus on a small subset of variables (subnetwork) o…
Inferring hidden states in Langevin dynamics on large networks: Average case performance
Barbara Bravi, Manfred Opper, Peter Sollich
We present average performance results for dynamical inference problems in large networks, where a set of nodes is hidden while the time trajectories of the others are observed. Ex…
Inference for dynamics of continuous variables: the Extended Plefka Expansion with hidden nodes
Barbara Bravi, Peter Sollich
We consider the problem of a subnetwork of observed nodes embedded into a larger bulk of unknown (i.e. hidden) nodes, where the aim is to infer these hidden states given informatio…