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I propose that we add a new FEP (free energy perturbation) module, as `dc.fep`.
Introduction
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Free energy perturbation has become an increasingly powerful technique in modern drug di…
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Hello, I wonder your nll is correct?
In,
https://github.com/VLL-HD/conditional_invertible_neural_networks/blob/master/mnist_minimal_example/eval.py#L44-L45
I think, your z is the latent varia…
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Hello!
I read your cvpr paper "Generative Flows with Invertible Attentions" and it is really impressive work for developing normalizing flow.
Then, i am trying to study and implement your work, …
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Hi @LuChengTHU, thank you for the great work, which is very inspiring.
I run your code by defaulting settings, which work very well.
Now, I wanted to train your model for the hybrid task. Specifica…
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Thanks for sharing, but I want to know why VAE's Test Lower Bound on the MNIST dataset can reach -79.4? In the original paper (Variational Inference with Normalizing Flows), when K=20, the value of Te…
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Hello,
I have been looking for a Julia package to perform amortized Bayesian inference on simulation-based models. In many areas of science, there are models with unknown/intractable likelihood fu…
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Hi there, I am just confused by the inverse autoregressive flow. Do you use another network model to fit the distribution q(z|x)? Can I understand in the following way?
As far as my know, in the fl…
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Leaving the weights of the different observation types (e.g. temperature obs, flow obs) causes bias towards high value observations (or residuals) in objective function. According to [PESTPP4.2.4 manu…
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### Issue Description
The helper functions to create transforms in `pyro.distributions.transforms.spline_autoregressive` throws an error when quadratic splines are used in a simple example. This pr…
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@sschmidt23 implemented a basic pzflow-based RAIL Estimator in PR LSSTDESC/RAIL#116 (addressing issue LSSTDESC/RAIL#94). There are numerous upgrades that could be made. I will list them here to keep t…