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sbi reloaded: a toolkit for simulation-based inference workflows

Authors: Boelts, Jan; Deistler, Michael; Glöckler, Manuel; Tejero-Cantero, Alvaro; Lueckmann, Jan-Matthis; Moss, Guy; Steinbach, Peter; +26 Authors

sbi reloaded: a toolkit for simulation-based inference workflows

Abstract

⚠️ Breaking Changes Make PyMC and Pyro optional dependencies (#1835): pip install sbi no longer installs pymc or pyro-ppl. Users who need Pyro or PyMC MCMC samplers should install extras: pip install "sbi[pyro]" for Pyro samplers (hmc_pyro, nuts_pyro) pip install "sbi[pymc]" for PyMC samplers (slice_pymc, hmc_pymc, nuts_pymc) pip install "sbi[all]" for both Using a Pyro/PyMC method without the dependency installed raises a clear ImportError with install instructions. 🐛 Bug Fixes Fix TARP z-scoring bug (#1832): Reference points are now z-scored alongside thetas and posterior_samples when z_score_theta=True, fixing incorrect distance calculations that masked bias detection. Fix broken biased_toy_gaussian test helper: Rewrote to create actual location bias (posterior mean shifted from truth) instead of the previous NaN-producing formula. 📖 Documentation Streamlined README installation section, recommend uv as default. Added optional dependency install instructions to README, installation guide, and relevant tutorials. 🔧 Improvements Change default num_bins in TARP: run_tarp and _run_tarp now default to num_bins=None (auto-scales to num_sims // 10) instead of the hardcoded 30, improving KS test power for larger sample sizes. 🔒 Security Added SLSA build provenance attestations to the release workflow. Added Dependabot for automated GitHub Actions version updates. Added SECURITY.md with vulnerability disclosure policy. Fixed release uploads with --clobber flag.

If you use this software, please cite our article in the Journal of Open Source Software.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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