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

How many simulations do we need for simulation-based inference in cosmology?

A Bairagi, B Wandelt, F Villaescusa-Navarro - arXiv preprint arXiv …, 2025 - arxiv.org

How many simulations do we need to train machine learning methods to extract information available from summary statistics of the cosmological density field? Neural …

The Galactic population of magnetars a simulation-based inference study

M Sautron, AE McEwen, G Younes, J Pétri… - arXiv preprint arXiv …, 2025 - arxiv.org

… We utilize simulation-based inference to reproduce the observed magnetar population with a model which takes into account the secular evolution of the force-free …

Discriminative versus Generative Approaches to Simulation-based Inference

B Sluijter, S Diefenbacher, W Bhimji… - arXiv preprint arXiv …, 2025 - arxiv.org

… We compare two approaches for neural simulation-based inference (NSBI): one based on discriminative learning (classification) and one based on generative modeling. …

Carbon Nanotube Field Effect Transistor Model Development by Machine Learning

S Tan - 2025 - search.proquest.com

… aligned CNT networks and used simulation-based inference to extract key parameters … We show that simulation-based inference can be a powerful tool for building models …