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

Stochastic colonization and host-to-host transmission shape gut bacterial variability

CY Lu, SA Tashev, P Pessoa, R Kruithoff, DP Shepherd… - bioRxiv, 2026 - biorxiv.org

… distinguish the contributions of colonization, recolonization, and within-host growth to these population-level dynamics, we developed a simulation-based inference …

Learning activator-inhibitor dynamics at the cell cortex with neural likelihood ratio estimation

O Maxian, E Munro, A Dinner - bioRxiv, 2026 - biorxiv.org

… We leverage recent advances in each of these fields, focusing in particular on neuralnetwork methods for simulation-based inference, to study how cell-scale patterns of …

Keeping Score Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions

A Shen, M Kuusela - arXiv preprint arXiv:2605.12118, 2026 - arxiv.org

… Simulation-based inference (SBI) bypasses this restriction by constructing amortized surrogate likelihoods, but most SBI methods assume a black-box data generating …

Machine Learning Techniques for Astrophysics and Cosmology Simulation-Based Inference

L Thiele - arXiv preprint arXiv:2605.10719, 2026 - arxiv.org

… which the added information from simulation-based inference, as compared to previous … How many simulations do we need for simulation-based inference in cosmology?, …