Rémi Louf

> We could also show a single example that explains most/all other cases; otherwise, we could attempt to generate RST for complete examples, but that seems like a lot. It...

I added a commit that excludes the `RandomVariable`s created with `create_default_transformed_rv_op`.

I have added a directive to list the invertible transforms, but it would be nice to have it displayed as `autoclass` does. The Sphinx API really is not making things...

I'm still hoping to get the transformations nicely documented here. For instance generating something like the following directive: ``` .. autosummary:: :toctree: _generated transform_1_name transform_2_name ```

We can automate adaptation now that #76 is merged. It is already implemented in [AeHMC](https://github.com/aesara-devs/aehmc/blob/main/aehmc/window_adaptation.py), so this is mostly about wiring and figuring out the interface. One difficulty with the...

We should start with reasoning at the level of random variables. We can already implement relations for convolutions of known distributions that result in a known distribution in AeMCMC, see...

This may have been solved by https://github.com/aesara-devs/aesara/pull/1192.

Hey, thanks for revisiting the PR! Do you mean running the code on this PR branch? If I run your code snippet on `main` I get the following result: ```python...

> Yes, but I felt like that graph rewrite for both would be very similar. I can separate them as I work through them, for now... They likely will, and...

Of course: https://aesara.readthedocs.io/en/latest/extending/graph_rewriting.html#detailed-profiling-of-aesara-rewrites. Alternatively, you can add a breakpoint [here](https://github.com/aesara-devs/aeppl/blob/d0c009d23df93b43e572b9853138b48933d657f8/aeppl/rewriting.py#L330), `aesara.dprint(fgraph)`, note the index of the `SpecifyShape` node, then inspect the node using `node = fgraph.toposort()[index]` and then `node.tag` may...