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Resources

We list below valuable resources related to SBI that we found during our research.

Compilations

For more complete lists of related papers and sofware, check out

  • simulation-based-inference.org, which aggregates hundreds of scientific papers using Simulation-based Inference in different fields.
  • Awesome Neural SBI, a Github repsitory containing a curated list of methodological and applied papers, software packages, and tutorials.

Software packages

  • sbi: A user-friendly Python package implementing the most common SBI algorithms.
  • sbibm: A Simulation-Based Inference Benchmark comparing SBI algorithms' performances accross different tasks and metrics.
  • swyft: the official Python implementation of the Truncated Marginal Neural Ratio Estimation (TMNRE) algorithm

References

[1]: Tejero-Cantero, Alvaro, et al. "SBI--A toolkit for simulation-based inference." arXiv preprint arXiv:2007.09114 (2020).

[2]: Lueckmann, Jan-Matthis, et al. "Benchmarking simulation-based inference." International conference on artificial intelligence and statistics. PMLR, 2021.

[3]: Miller, Benjamin Kurt, et al. "swyft: Truncated marginal neural ratio estimation in python." Journal of Open Source Software 7.75 (2022): 4205.