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

ASBI Leveraging informative real-world data for active black-box simulator tuning

G Kim, T Matsubara - Applied Intelligence, 2025 - Springer

… Simulation-Based Inference (SBI) tackles this issue using simulation-driven … In this work, we present Active Simulation-Based Inference (ASBI), a parameter estimation …

$texttt{SBi3PCF}$ Simulation-based inference with the integrated 3PCF

D Gebauer, A Halder, S Seitz… - arXiv preprint arXiv …, 2025 - arxiv.org

… We present SBi3PCF, a simulation-based inference (SBI) framework for analysing a higher-order weak lensing statistic, the integrated 3-point correlation function (i3PCF). …

PriorGuide Test-Time Prior Adaptation for Simulation-Based Inference

Y Yang, S Rissanen, PE Chang, N Loka… - arXiv preprint arXiv …, 2025 - arxiv.org

… Simulation-based inference (SBI) has become a key tool across scientific disciplines, enabling Bayesian inference for complex systems where the likelihood function p(x θ…

Deep Learning in Astrophysics

YS Ting - arXiv preprint arXiv:2510.10713, 2025 - arxiv.org

… Simulation-based inference and anomaly detection extract information from complex, non-Gaussian distributions where analytical likelihoods fail, enabling field-level …