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

Conservative neural posterior estimation via distributionally robust training

W Laplante, Y Hikida, C Dellaporta, FX Briol… - arXiv preprint arXiv …, 2026 - arxiv.org

… Simulation-based inference with neural posterior estimation (NPE) often yields overconfident and unreliable posteriors under limited simulation budgets. To address this, …

A computationally-tractable measure of global sensitivity for sampling-based Bayesian inference

A Odnoblyudova, C Dellaporta, FX Briol - arXiv preprint arXiv:2605.28099, 2026 - arxiv.org

… time-series, amortised neural simulation based inference for simulators of time-series … We consider simulation-based inference (SBI) for the Turin radio propagation model (…

VROOM-SBI A Fast Simulation-Based Bayesian Inference Methodology for QU-Fitting

A Pal, P Jagannathan - arXiv preprint arXiv:2605.27538, 2026 - arxiv.org

… We introduce VROOM-SBI, which uses simulation-based inference, particularly neural posterior estimation, to speed up inference. Our results are comparable to both …

Quit While You're Ahead Sequential Training Can Harm Simulation-Based Inference

K Samaroo, Y Shen, RJ Ryder, T Broderick - Symposium on Probabilistic … - openreview.net

Simulation-based inference (SBI) is widely used to infer parameters of simulators whose likelihood functions are intractable. Recent work has suggested that sequential, …