Optimizing the activation function in randomized neural networks provides a more suitable dictionary for transfer operator approximation in stochastic differential equations and random walks on graphons.
Lindorff-Larsen, S
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A committor-guided Milestoning (CoM) algorithm using neural-network ansatz and short trajectories for efficient prediction of mean first passage times in biomolecular systems.
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Optimization of randomized neural networks for transfer operator approximation
Optimizing the activation function in randomized neural networks provides a more suitable dictionary for transfer operator approximation in stochastic differential equations and random walks on graphons.
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Fast and accurate committor estimation for kinetics simulations
A committor-guided Milestoning (CoM) algorithm using neural-network ansatz and short trajectories for efficient prediction of mean first passage times in biomolecular systems.