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We'd like to have a tensor LMO for tensor nuclear norm constraints. Therefore, an implementation of https://hal.archives-ouvertes.fr/hal-01385538/file/SeROAP_final.pdf (or some other rank 1 tensor dec…
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I'm a bit lost in this awesome library, and could not find a suitable example, hence not sure if and how to use tensorly for a "simple" SVD decomposition for PyTorch tensors (if possible).
I.e
G…
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### Title
ME-mppca: Building a tensor-based thermal denoising method
### Leaders
Marco Antonio Flores-Coronado @MarcoFloresCoro
### Collaborators
SPiN lab (BCBL)
### Brainhack Global 2024 Even…
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Recently @Cy-Zhang has been working on a Higher Order-SVD (HOSVD) method for noise reduction in 4-D datasets. (@Cy-Zhang correct me if anything I say is wrong)
This takes into account the inherent …
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### Is your feature request related to a problem?
Cannot tell if this possible or not.
### Describe the solution you'd like
I'd like to be able to create a MPS that groups together multiple physica…
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https://orechou.github.io/2018/01/09/TensorLy-In-Action/
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This might be a stupid question but I couldn't find a solution anywhere.
When I use gpu to run non-negative decompositions for a random tensor, it is much slower than using a cpu (for various size…
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Hello, when run the following command, it occurs err:
```
(ProtoMotions) rob@rob:~/rl/ProtoMotions$ alias PYTHON_PATH=python
(ProtoMotions) rob@rob:~/rl/ProtoMotions$ PYTHON_PATH phys_anim/train_…
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Hello again,
I've been having trouble getting my model to reliably initialize. The problem arises when initial f-est is "nan" - the model will get completely stuck and wont make any progress
```
…
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```
import torch
class M(torch.nn.Module):
def forward(self, x):
torch.ops.aten._assert_async(torch.tensor(True), "f")
return x
torch.export.export(M(), (torch.tenso…