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

Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage

W Teng, LJ Durlofsky - Available at SSRN 4990538 - papers.ssrn.com

Data assimilation will be essential for the management and expansion of geological carbon storage operations. In traditional data assimilation approaches a fixed set of …

Deep Optimal Sensor Placement for Black Box Stochastic Simulations

P Cordero-Encinar, T Schröder, P Yatsyshin… - arXiv preprint arXiv …, 2024 - arxiv.org

… Unlike existing simulation-based inference approaches, which must be tied to a specific set of point evaluations, we learn a functional representation of parameters and …

Field-level cosmological model selection field-level simulation-based inference for Stage IV cosmic shear can distinguish dynamical dark energy

AS Mancini, K Lin, JD McEwen - arXiv preprint arXiv:2410.10616, 2024 - arxiv.org

… We achieve this by taking a simulation-based inference (SBI) approach using neural likelihood estimation, which we couple with the learned harmonic mean estimator in …

Simulation-based inference with scattering representations scattering is all you need

K Lin, B Joachimi, JD McEwen - arXiv preprint arXiv:2410.11883, 2024 - arxiv.org

… We demonstrate the first successful use of scattering representations without further compression for simulation-based inference (SBI) with images (ie field-level), …