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

Likelihood-Free Parameter Inference for Spatiotemporal Stochastic Biological Models using Neural Posterior Estimation

T Kimpson, J Flegg, MJ Simpson - Journal of Theoretical Biology, 2026 - Elsevier

… Here, we overcome these limitations using neural posterior estimation, a simulation-based inference framework that learns the full posterior distribution directly from …

Covariance-Informed Subspace an Adaptive Gradient-Free Input Dimension Reduction Method for Bayesian Inference

N Polette, OL Maître, P Sochala, A Gesret - arXiv preprint arXiv …, 2026 - arxiv.org

… However, the gradient may be unavailable or expensive to compute accurately, for instance in the case of simulation-based inference. Inspired by approaches based on …

Spectroscopy of analogue black holes using simulation-based inference

L Solidoro, SH Völkel, S Weinfurtner - arXiv preprint arXiv:2604.12800, 2026 - arxiv.org

… Using simulation-based inference, we demonstrate that the physical parameters encoded in noisy spectra can be reliably extracted, showing that these techniques provide …

Proton Structure from Neural Simulation-Based Inference at the LHC

R Barrué, L Benato, AK Güven, E Hammou… - arXiv preprint arXiv …, 2026 - arxiv.org

… In this work we demonstrate for the first time the feasibility of neural simulationbased inference (NSBI) for constraining the proton PDFs using a high-dimensional unbinned …