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Rènyi-Regularized Flow-Based Variational Inference for Bayesian Calibration
Variational inference with normalizing flows provides a flexible posterior approximation for Bayesian model calibration, but struggles when the posterior has several modes separated by regions of low probability mass. We study this behavior in a two-parameter twin experiment and regularize the varia
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