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

$texttt{UFig v1}$ The ultra-fast image generator

S Fischbacher, B Moser, T Kacprzak, L Tortorelli… - arXiv preprint arXiv …, 2024 - arxiv.org

… With the rise of simulation-based inference (SBI) methods (see eg Cranmer et al. (… This makes it particularly well-suited for simulation-based inference (SBI) methods where …

$texttt{galsbi}$ A Python package for the GalSBI galaxy population model

S Fischbacher, B Moser, T Kacprzak, J Herbel… - arXiv preprint arXiv …, 2024 - arxiv.org

… This phenomenological model is constrained by observational data using simulation-based inference (SBI). The galsbi Python package provides an easy interface to …

GalSBI Phenomenological galaxy population model for cosmology using simulation-based inference

S Fischbacher, T Kacprzak, L Tortorelli, B Moser… - arXiv preprint arXiv …, 2024 - arxiv.org

… We present GalSBI, a phenomenological model of the galaxy population for cosmological applications using simulation-based inference. The model is based on analytical …

Neural simulation-based inference for LHC analysis

G Louppe - ACE seminar# 29, 2024 - orbi.uliege.be

Neural simulation-based inference for LHC analysis … Neural simulation-based inference for LHC analysis … Neural simulation-based inference …