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- [ ] General forms using spherical harmonics
https://www.nature.com/articles/s41467-022-29939-5
https://docs.e3nn.org/en/latest/guide/convolution.html
- [x] Simpler equivariant layers
https://p…
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[e3nn](https://www.connectedpapers.com/main/c7215ab4589ce3590910c597e86b1aba8e460d49/e3nn%3A-Euclidean-Neural-Networks/graph)
```mermaid
flowchart TD;
A[Freeman,1991\nThe design and use of stee…
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In the section"Model Definition", IrrepsData is imported from e3nn-jax.
`from e3nn_jax import IrrepsData`
But this file is deleted from e3nn-jax, so I think it may need to be replaced by Irreps?
…
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- [x] `EquivGraphConv` layer
- [ ] `EGNN` network and example
> Ref. [E(n) Equivariant Graph Neural Networks](https://arxiv.org/abs/2102.09844)
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**General Interpretability:**
- [interpretable ml book](https://christophm.github.io/interpretable-ml-book/shapley.html), specifically sections on `learned features`, `Shapley values`, `Influential I…
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Hi @awaelchli
So sorry for the last minute question! I have been closely following physics-informed / equivariant neural networks over the last few months, and I was very excited to see our overlap…
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from https://github.com/jax-md/jax-md/blob/main/notebooks/equivariant_neural_networks.ipynb
```
def single_loss_fn(params, position, E_target, F_target):
l_nbrs = nbrs.update(position)
E, G …
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**Please check the [Github](https://github.com/zezhishao/MTS_Daily_ArXiv) page for a better reading experience and more papers.**
## Time Series
| **Title** | **Date** | **Comment** |
| --- | --- | -…
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4 topics:
A. transformers:
- [x] MAT ( https://github.com/ardigen/MAT & https://arxiv.org/abs/2002.08264)
- [ ] RMAT (https://github.com/gmum/huggingmolecules & https://arxiv.org/abs/2110.05…