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

DNA replication errors are a major source of adaptive gene amplification

J Chuong, N Ben Nun, I Suresh, J Matthews, T De… - bioRxiv, 2024 - biorxiv.org

… Using a CNV reporter system and neural network simulation-based inference (nnSBI) we quantified the formation rate and fitness effect of CNVs for each strain. We find …

Simulation-based Inference of Developmental EEG Maturation with the Spectral Graph Model

D Bernardo, X Xie, P Verma, J Kim, V Liu, Y Wu… - arXiv preprint arXiv …, 2024 - arxiv.org

… In this study, we utilize simulation-based inference with the spectral graph model (SBI-SGM) to model EEG spectral maturation and infer population-based trajectories of …

Modelling Sampling Distributions of Test Statistics with Autograd

AA Kadhim, HB Prosper - arXiv preprint arXiv:2405.02488, 2024 - arxiv.org

… This is the issue we explore in this paper where the focus is on test statistics that arise in simulation-based inference. We consider the classic ON/OFF problem of …

A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics

E Krause, Y Kobayashi, AN Salcedo, MM Ivanov… - arXiv preprint arXiv …, 2024 - arxiv.org

… , LEFTfield field-level inference using effective field theory (EFT), and joint power spectrum and bispectrum analyses using both EFT and simulation-based inference. In …