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An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

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When I command 'python cdvae/run.py data=perov expname=perov',I meet the problem that CUDA capabilities probelm.The concrete hint is as follow: ``` packages/torch/cuda/__init__.py:104: UserWarning: NVIDIA GeForce RTX 4090 with CUDA capability sm_89...

Followed the [faster conda installation instructions](https://github.com/txie-93/cdvae#faster-conda-installation) from the README on WSL2 (files and environment localized to the WSL2 storage) and got the same error as in https://github.com/txie-93/cdvae/issues/2#issuecomment-1153064071. ```python Exception has...

I would like to inquire how I can obtain the visualization results in the published paper.

For help in troubleshooting getting it up and running.

Hi @txie-93, I'm enjoying digging into the manuscript, and congratulations on its acceptance to ICLR! It is really nice to see the comparison with FTCP and other methods, and CDVAE...

For a "more chemically intuitive" distance metric. Original implementation: [ElMD](https://github.com/lrcfmd/ElMD) and [ElM2D](https://github.com/lrcfmd/ElM2D). Lightning-fast version of ElM2D at https://github.com/sparks-baird/chem_wasserstein. $10k \times 10k$ pairwise distances on order of ~10 seconds on CPU....

This is what outputs in Anaconda Prompt: `(base) C:\Users\colto\Desktop>conda env create -f env.cpu.yml Collecting package metadata (repodata.json): done Solving environment: / Found conflicts! Looking for incompatible packages. UnsatisfiableError: The following...

> We normalize the lengths of lattice vectors with [N^(1/3)] Does this mean: $a_{scaled} = \frac{a}{N^{1/3}}$ ?

https://github.com/txie-93/cdvae/issues/2