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

The impact of assembly history on the X-ray detectability of halos. From galaxy groups to galaxy clusters

I Marini, P Popesso, K Dolag, V Biffi… - arXiv preprint arXiv …, 2025 - arxiv.org

… These findings will aid the interpretation of future X-ray surveys, demonstrating the power of simulation-based inference. …

Simulation-based inference with diffusion models for spatial statistics

H Tesso, A Bharti, E Semenova - 7th Symposium on Advances in … - openreview.net

… We propose a simulation-based inference (SBI) method using a transformer-enhanced diffusion model tailored for spatial models with latent GP priors. By leveraging …

Learning Likelihood-Free Reference Priors

NG Bishop, J Dyer, DJ Ornia, A Calinescu… - 7th Symposium on … - openreview.net

… In response to this challenge, a variety of inference procedures have been developed by the simulationbased inference (sbi) community, ranging from classical …

Inference-Time Prior Adaptation in Simulation Based Inference via Guided Diffusion Models

PE Chang, S Rissanen, NRBS Loka, D Huang… - 7th Symposium on … - openreview.net

… The two moons example is a common benchmark for simulation-based inference. … Finally, we evaluate PriorGuide on two simulation-based inference tasks of increasing …