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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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Hi, thanks for your wonderful work and code! I am new to the equivariant learning area, and I am trying to understand each step of your code. I suspect [this function](https://github.com/atomicarchite…
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I'm interested in learning how to use the operators in e2cnn/escnn to implement a function f such that f(Fea_I) = Fea_I_rot. Here, Fea_I = B(I) represents the feature of an image I after passing throu…
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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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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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## 🚀 Feature
An implementation of group-equivariant convolutions defined by Cohen et. al in the paper 'Group equivariant convolutions' - in ICML 2016.
Specifically, an implementation of the group-co…
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The OP in this issue https://github.com/openmm/openmm-torch/issues/133 was led to believe the Graph Network is equivariant because TorchMD-Net provides the "equivariant_group" parameter (which is only…
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I was trying to use ico cnn to do some experiments about SO(3) rotations.But I was wondering how to prove this network is equivariant to the rotations.On one hand I rotated the signals first and sent …
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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…