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Found 5 papers, 4 papers with code
GATSBI: Generative Adversarial Training for Simulation-Based Inference
We study the relationship between SBI and GANs, and introduce GATSBI, an adversarial approach to SBI.
Learning Implicit PDE Integration with Linear Implicit Layers
As a challenging test case, we train emulators on semi-implicit integration of 2D shallow-water equations with closed boundaries.
Benchmarking Simulation-Based Inference
We set out to fill this gap: We provide a benchmark with inference tasks and suitable performance metrics, with an initial selection of algorithms including recent approaches employing neural networks and classical Approximate Bayesian Computation methods.
SBI -- A toolkit for simulation-based inference
$\texttt{sbi}$ facilitates inference on black-box simulators for practising scientists and engineers by providing a unified interface to state-of-the-art algorithms together with documentation and tutorials.
Automatic Posterior Transformation for Likelihood-Free Inference
How can one perform Bayesian inference on stochastic simulators with intractable likelihoods?
