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

Neural posterior estimation of Galactic Binary signals for the LISA mission

T Delmond, N Korsakova, T Oberlin, S Marsat… - arXiv preprint arXiv …, 2026 - arxiv.org

… In this work, we explore simulation-based inference as a means to perform efficient parameter estimation for single galactic binaries, with a potential extension to the …

Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models a comparison with MCMC

A Bazarova, JF Jadebeck, H Zunker… - arXiv preprint arXiv …, 2026 - arxiv.org

… Here, we investigate simulation-based inference (SBI) using neural posterior estimation as a scalable alternative for Bayesian calibration of a mechanistic SECIR …

Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures

S Zelmer, E Bulbul, K Lehman, S Krippendorf… - arXiv preprint arXiv …, 2026 - arxiv.org

… We develop and implement a simulation-based inference (SBI) framework for cosmological parameter estimation using a realistic mock-generation pipeline calibrated on …

Engagement responsive pedagogy with the PRISM framework for inclusive and adaptive learning

AO Ibitoye, I Chishti, JD Akinyemi, AO Abiodun… - Discover …, 2026 - Springer

… The study concludes with design implications, limitations of simulation-based inference, and directions for future work on deployment, inclusivity, and learner perceptions …