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Found 2 papers, 2 papers with code
LINFA: a Python library for variational inference with normalizing flow and annealing
Variational inference is an increasingly popular method in statistics and machine learning for approximating probability distributions.
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation
We demonstrate the computational efficiency of the AdaAnn scheduler for variational inference with normalizing flows on a number of examples, including density approximation and parameter estimation for dynamical systems.
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