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Agreed! Related: it would be useful to have a more flexible/general function akin to `plot_posterior_2d()`. `AmortizedPointEstimator.bootstrap_sample()` produces structurally similar data as `AmortizedPosterior.sample()`. However, if we want to plot it, the...

Hi all, the current interface supports loss functions of the form $\mathcal L=f(\hat \theta - \theta)$. This covers many of the interesting loss functions. However, my understanding is - the...

I added tests and a minimal example notebook. Tests are passing on torch and tensorflow, but fail on jax. @LarsKue since you are the architect of the `stateless_compute_metrics`, could you...

You can check out the example notebook here: https://github.com/bayesflow-org/bayesflow/blob/ensembles/examples/ApproximatorEnsemble%20example.ipynb

The functionality of `add_loss` is actually really flexible. You can compute some quantity however you like and add it to the loss. So it allows for arbitrary customization with respect...