Marginal Girsanov Reweighting stabilizes variance by marginalizing over intermediate paths to enable reliable reweighting of long-timescale dynamics from biased molecular simulations.
By constructing consecutive path distributions, it alleviates the problems caused by poor overlap between two densities
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Marginal Girsanov Reweighting: Stable Variance Reduction for Long-Timescale Dynamics from Biased Simulation
Marginal Girsanov Reweighting stabilizes variance by marginalizing over intermediate paths to enable reliable reweighting of long-timescale dynamics from biased molecular simulations.