Aligning simulated and observed summaries improves neural Bayesian inference under likelihood misspecification but degrades it under prior misspecification.
Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics
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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
Aligning simulated and observed summaries improves neural Bayesian inference under likelihood misspecification but degrades it under prior misspecification.