RevIN

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Will you release the code for training N-BEATS model with RevIN?

Arthur-Null

Thank you for such great work. I'm working on time series anomaly detection, and your work has inspired me a lot. But I have a question about the denormalization in...

robbyyuu

Thank you for the code. I did a quick check with revin to see if it is causal along the sequence length axis, where by "causal" I mean that only...

jaak-s

Hi, I appreciate your paper and code. What I am confused about is why there is no comparison of rev layer norm (similar to RevBn, RevIN) in Table 10 of...

zxg-code

Question about Dataset Standardization

1

Hi, I appreciate your paper and code. Could you confirm if you standardized the datasets (applied z-scores) before using RevIN? Thank you, Huy

cuongth95

Question

2

Please tell me, did I get it right here? ..for some reason, the results even got worse. import torch.nn as nn import torch.optim as optim class MultipleRegression(nn.Module): def __init__(self, num_features):...

TDL77

Double normalization

5

Thanks for your work. I read the source code of Informer with RevIN, and I found that the data is normalized by standard normalization, and then sent to the RevIn...

Yiwen233

What if the x_in and x_out have different numbers of features?

1

What if the x_in and x_out have different numbers of features? For example, we use multivariable to predict a single variable. They don't have the same number of channels. Thanks

lzmax888