A new regularized path-dependent McKean-Vlasov formulation with optimization-free tensor density approximation scales enhanced sampling to collective variable dimensions up to 64.
Empirical approximation to invariant measures for mckean–vlasov processes: Mean-field interaction vs self- interaction
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High-Dimensional Enhanced Sampling via Regularized Path-Dependent McKean--Vlasov Dynamics using Tensor Density Approximation
A new regularized path-dependent McKean-Vlasov formulation with optimization-free tensor density approximation scales enhanced sampling to collective variable dimensions up to 64.