Software

An initial list of SBI-related software packages

SBI (python) - general purpose SBI framework
SBI Benchmarking (python) - for benchmarking
MadMiner - aimed at particle physics
swyft (python) the reference implementation of Truncated Marginal Neural Ratio Estimation (TMNRE), an efficient, simulation-based inference technique for complex data and expensive simulators
carl an early NN-based SBI package
lampe (python) is a flexible, amortized sbi library. The philosophy of LAMPE is to avoid obfuscation and expose all components so it is most useful for researchers.
pydelfi (python) with neural density estimators and adaptive acquisition of simulations.

Latest Posts

Simulation-based inference advances water quality mapping in shallow coral reef environments

P Palola, V Theenathayalan… - Royal Society …, 2025 - royalsocietypublishing.org

… , simulation-based inference, for addressing the inverse problem in marine remote sensing. The simulation-based inference … We apply a simulation-based inference (SBI) …

Bayesian estimation of stochastic metafrontiers

I Skevas - Economics Letters, 2025 - Elsevier

… It uses Bayesian simulation-based inference and user-friendly software, requiring minimal coding. Applications to simulated and real data confirm the model’s reliability. …

A robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes

C Eckner, NA Montel, F List, F Calore… - arXiv preprint arXiv …, 2025 - arxiv.org

… In this work, we analyze 14 years of high-latitude ( b ≥ 30◦) Fermi-LAT data in the range from 1 to 10 GeV using simulation-based inference (SBI) via neural ratio …

Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps

K Diao, B Dai, U Seljak - arXiv preprint arXiv:2505.00632, 2025 - arxiv.org

… Simulation-based inference provides a powerful framework for extracting rich … of machine learning (ML)-based simulation-based inference (SBI). We employ probability …