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 tension quantification of the cosmic dipole

M Land-Strykowski, HTJ Bevins, OT Oayda… - arXiv preprint arXiv …, 2026 - arxiv.org

… In this paper, we present a flexible simulation-based inference (SBI) architecture for measuring the cosmic dipole tension using Neural Ratio Estimators (NREs). We …

A Hierarchical Validity-Audit Framework for Neural Mass Models in Simulation-Based Inference From Observational Coverage to Mechanistic Interpretation

T Cai, N Jiang, Y Yang, J He - arXiv preprint arXiv:2607.24874, 2026 - arxiv.org

… Abstract:Neural mass models describe population level neural activity using low-dimensional dynamical parameters and, through simulation-based inference, enable …

Simulation-Based Empirical Bayes

X Shen, D Cai, C Zhang, DM Blei - arXiv preprint arXiv:2607.21843, 2026 - arxiv.org

… Second, we review simulation-based inference (SBI), which fits an amortized posterior … It iteratively uses simulation-based inference to approximate posterior distributions, …

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

M Dax, T Heimel, G Louppe - arXiv preprint arXiv:2607.21702, 2026 - arxiv.org

… learning techniques for simulation-based inference (Sec. 3… literature on simulation-based inference applications, we … examples for applying simulation-based inference. …