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Neural Sinkhorn Gradient Flow
We utilize the velocity field matching training scheme in NSGF, which only requires samples from the source and target distribution to compute an empirical velocity field approximation.
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework
Particle-based Variational Inference (ParVI) methods approximate the target distribution by iteratively evolving finite weighted particle systems.
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