# Automatic Posterior Transformation for Likelihood-Free Inference

*Source* · `src-greenberg-2019-apt` · status: **n/a**

| field | value |
|---|---|
| kind | Peer-reviewed paper |
| authors | David S. Greenberg, Marcel Nonnenmacher, Jakob H. Macke |
| venue | ICML 2019 |
| date | 2019-05-17 |
| url | https://arxiv.org/abs/1905.07488 |
| arxiv | 1905.07488 |
| accessed | 2026-10-24 |

## Notes

Sequential neural posterior estimation with arbitrary, dynamically updated proposals and normalizing-flow density estimators; works on high-dimensional time series and images.

## Backlinks (computed)

**cited by:** [Simulation-based inference for calibrating simulators](../technique/simulation-based-inference.md)

## Citation

David S. Greenberg, Marcel Nonnenmacher, Jakob H. Macke (2019-05-17). *Automatic Posterior Transformation for Likelihood-Free Inference*. ICML 2019 https://arxiv.org/abs/1905.07488

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Provenance: created in run `2026-10-24-techniques-sim-math`.