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

T Gruner, B Belousov, F Muratore, D Palenicek… - arXiv preprint arXiv …, 2023 - arxiv.org

… Simulation-Based Inference (SBI) is a common name for an emerging family of approaches that infer the model parameters when the likelihood is intractable. Existing SBI …

A point cloud approach to generative modeling for galaxy surveys at the field level

C Cuesta-Lazaro, S Mishra-Sharma - arXiv preprint arXiv:2311.17141, 2023 - arxiv.org

… extended to enable a comprehensive analysis of cosmological data, circumventing limitations inherent to summary statistics- as well as neural simulation-based inference …

Learning Reionization History from Quasars with Simulation-Based Inference

H Chen, J Speagle, KK Rogers - arXiv preprint arXiv:2311.16238, 2023 - arxiv.org

… We assess the performance of a simulation-based inference (SBI) method to infer the neutral fraction of the universe from quasar spectra. The SBI method adeptly exploits …

Loss-driven sampling within hard-to-learn areas for simulation-based neural network training

S Dymchenko, B Raffin - MLPS 2023-Machine Learning and the …, 2023 - hal.science

… This includes Physics Informed Neural Networks (PINNs), simulation-based inference, deep surrogates and deep reinforcement learning. An adaptive process observes …