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PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

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An error occurred during Hydra's exception formatting: AsswerionError()

It seems the method prior_association() can not back propagate gradient to train Ws, or maybe I misunderstood? https://github.com/spencerbraun/anomaly_transformer_pytorch/blob/6d15200911260eee910a3664d70f07886c47708b/model.py#L41-L45 according to paper, is this the right way? `gaussian = 1 /...

Hi, thanks for sharing codes. I tried to revise the model according to your paper. 1). Fixed KL divergency calculation bug. 2). Added feature for supporting batch processing. (input: [batch,...

There is an issue with the loss: https://github.com/spencerbraun/anomaly_transformer_pytorch/blob/6d15200911260eee910a3664d70f07886c47708b/train.py#L53 the reconstruction loss cancels, and we only end up with -2*discrepancy loss. Additionally, the stop-gradient as described in the paper is not...

Your research is very impressive and wonderful. However, I have one question while reading the paper. in this paper, For the maximize phase, we optimize the series-association to enlarge the...

when I trian the model , I met the problem. Can you give me some suggestions?

How should I process my data?The function "get_data" has not been defined.