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 cosmological inference from optically-selected galaxy clusters with $texttt{Capish}$

C Payerne, C Murray, H Simon - arXiv preprint arXiv:2602.01911, 2026 - arxiv.org

… In this paper, we present a forward-modelling approach using Simulation-Based Inference (SBI), which provides a natural framework for jointly modelling cluster …

Simulation-based Bayesian inference with ameliorative learned summary statistics -- Part I

GK Befekadu - arXiv preprint arXiv:2601.22441, 2026 - arxiv.org

… paper series, considers a simulation-based inference with learned summary statistics, … Moreover, the simulation-based inference framework discussed in this paper can be …

OneFlowSBI One Model, Many Queries for Simulation-Based Inference

M Nautiyal, L Ju, M Ernfors, K Hagland… - arXiv preprint arXiv …, 2026 - arxiv.org

… This paper introduces a unified simulation based inference method that supports multiple inference queries across scientific and engineering applications. As with any SBI …

Collective Posterior Inference from Highly Variable Empirical Replicates

N Ben Nun, S Rosset, D Gresham, Y Ram - bioRxiv, 2026 - biorxiv.org

… We demonstrate the collective posterior on several simulation-based inference tasks, using both rejection-ABC and NPE as individual posterior estimators, and compare it …