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Jan Hasenauer

2 accepted papers

2026

Compositional amortized inference for large-scale hierarchical Bayesian models

ICLR 2026poster

Amortized Bayesian inference (ABI) has emerged as a powerful simulation-based approach for estimating complex mechanistic models, offering fast posterior sampling via generative neural networks. However, extending ABI to hierarchical models, a cornerstone of modern Bayesian analysis, remains a major…

Cited by 0SourceScholar
2024

An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation

ICML 2024poster

Non-linear mixed-effects models are a powerful tool for studying heterogeneous populations in various fields, including biology, medicine, economics, and engineering. Here, the aim is to find a distribution over the parameters that describe the whole population using a model that can generate simula…

Cited by 3SourcePDFScholar