Reference
Variational methods for simulation-based inference, Manuel Glöckler, Michael Deistler, Jakob H. Macke. (2022)

Abstract

We present Sequential Neural Variational Inference (SNVI), an approach to perform Bayesian inference in models with intractable likelihoods. SNVI combines likelihood-estimation (or...

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Software

sbi: the simulation-based inference toolkit

sbi is a Python package for Bayesian parameter inference on simulators. It implements state-of-the-art algorithms and comes with …

Jan Teusen Maternus Herold Faried Abu Zaid
Simulation-Based Inference
Pill

Variational Methods for Simulation Based Inference

A new framework for likelihood-free inference, i.e. the task of using probabilistic / Bayesian Methods in the absence of tractable …

Faried Abu Zaid
Probabilistic Models
Series

Simulation-Based Inference

Simulation-based inference (SBI) offers a powerful framework for Bayesian parameter estimation in intricate scientific simulations where …

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