Yuhong Jin

Results 4 issues of Yuhong Jin

Dear authors: The forward procedure for $i$-RevNet described in the paper (Eq.(1)) is: $$ \tilde{x}_{j+1} = x_{j} + F_{j+1} \tilde{x}_{j} $$ However, the code for case 'stride = 2' leads...

The RNN network is set "batch_first=True". However, the input scheme and calculation loss function are still "[time_steps, batch, dim]".

Hello! Thanks for your exciting work! I'm confused about the result of the Lorenz system. The paper shows that the Lorenz system's prediction results are perfect, but I can't reproduce...

Dear authors: Thanks for your interesting and inspirational work! But I think there may be a minor mistake in the provided codes. In the file embedding_lorenz.py, the following codes are...