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### Required prerequisites
- [X] Search the [issue tracker](https://github.com/NVIDIA/cuda-quantum/issues) to check if your feature has already been mentioned or rejected in other issues.
### Descri…
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For example, where is the code "Adaptive graph scattering decomposition" and "Adaptive graph spectrum aggregation"?
The code like
` N, J, V, d = y.shape
y_conv = self.bn1_conv(…
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We should incorporate the l2 regularization more efficiently without actually creating a diagonal matrix (Id*reg_l2) but instead directly augment the pseudo-inverse:
https://github.com/tensorly/tenso…
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Since the 1.6 update of A1111 the color correction no longer works, this error is occurring:
[StableSR] Error fixing color with default method: Given groups=3, weight of size [3, 1, 3, 3], expected…
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Sample IR of an SVDF. We can't lower to TOSA. We could use a decomposition from TFLite to TFLite that handles this decomposition.
```
func @main(%arg0) : (tensor) -> tensor {
%0 = arith.const…
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Dear dev,
In the intial outputs of network construction, the diagonal of the square adjacency matrix is 0, whic makes sense.
However, after tensor decomposition, the diagonal of returned conse…
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i am confusing about how to apply Tucker-2 Decomposition with scikit-tensor, it seems that it only supports for standard Tucker Decomposition?
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Hi.
Great project overall but there are a few missing pieces, since you distributed the pip lib as a shared object I cannot see the source code
It would be very helpful to have a brief in depth e…
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The straight forward TT-decomposition of a full tensor does not work properly for me.
Minimal example:
```
import tntorch as tn
import torch
import numpy as np
X, Y, Z = np.meshgrid(range(12…
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Following the progress with Ticket #30307, we propose to add computational functionalities with tensors via the tensor train decomposition, which is an idea originally named Matrix Product States in…