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I think you mention that there is currently no paper on this and I think i agree with that.
A nice hint is the guacamol leaderboard https://www.benevolent.com/guacamol and [when we tested on SELFIES…
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import jax
import jax.numpy as jnp
from emlp.reps import V,Scalar
from emlp.groups import SO
import numpy as np
W =V(SO(3))
rep = 2*W
P = (rep>>Scalar).equivariant_projector()
applyP = lambd…
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For models that support them, it would be nice to include BCa intervals in addition to the currently supported percentile intervals. For completeness, we might also want Studentized or Basic bootstrap…
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Hi all,
thanks for making this repo public, great work!
I was trying to do equivariance test for autoencoder type network for for a small peptide(tri-peptide) with voxel convolution. Somehow can't …
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Hello,
I'm wondering if the first order approximation of algorithm Chebyshev ( Weisfeiler-Lehman ) allows the convolutional features to learn rotation invariants of graphs ?
Thank you
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```
Kind ty1 type.
Kind ty2 type.
Define name1 : ty1 -> prop by nabla x, name1 x.
Define name2 : ty2 -> prop by nabla x, name2 x.
Theorem bug1 : nabla x, name1 x.
intros.
assert name2 n1. %…