stNCE learns the energy of the joint density over data and time via spatiotemporal differences, unifies prior methods, and reports competitive performance on image and molecule density estimation.
Lindorff-Larsen, S
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Applies causal inference to PCs from MD trajectories of two proteins to construct directed influence networks complementary to PCA and TICA.
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.
A committor-guided Milestoning (CoM) algorithm using neural-network ansatz and short trajectories for efficient prediction of mean first passage times in biomolecular systems.
citing papers explorer
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Investigating causality between principal components in protein dynamics
Applies causal inference to PCs from MD trajectories of two proteins to construct directed influence networks complementary to PCA and TICA.
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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.