Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Feb-15-2026, 23:56:46 GMT–Neural Information Processing Systems

To solve this optimization, we propose a simulation-free training objective with a model parameterization that imposes the desired boundary conditions by design.

artificial intelligence, machine learning, transition path, (18 more...)

Neural Information Processing Systems

Feb-15-2026, 23:56:46 GMT

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Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

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