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stat.ML2026

Neural Architectures for Amortized Bayesian Inference: Statistical Foundations and Empirical Assessments

Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab Mukherjee

The paper examines how neural network architectures such as feedforward nets, Deep Sets, and Transformers can be used to amortize Bayesian inference, providing fast approximate pos…