adrienchaton

Thank you for discussion ! When I meant invertible, I did mean from STFT to STFT, across frequency scales. Indeed it would mean then being able to take a log...

Thank you for pointing the torch.pinverse operator that I didn't know ! I seems straight-forward for inverting the mel-spectrogram, however since nnAudio computes STFT through 1d convolution kernels, I am...

thanks for your reply

while enumerating the configurations and checking all forward fine, I am also observing an issue I didn't have so far ... just letting you know in case .. I can...

Thanks for looking this up. Unfortunately its not possible to put together the generating steps of this dataframe in a self-contained script. But I could share the resulting dataframe that...

the column dtypes are Int64(1), UInt16(15), UInt64(1), bool(11), boolean(6), object(15) the object columns are strings what I meant by bounded index is that if I print the dataframe index before...

Thanks for the tips. I tried loading the large dataframe column by column and found out two columns that caused the error. These columns are the only ones containing themselves...

Hello, I also get such "RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation" when backpropagating the SmoothKNN function. The same code, running...

Thank you for the quick reply ! I detail a bit more because I did encounter different behavior for k=1 or k>1 (I tried because it is mentioned that the...

Hi ! I continue exerimenting with the MMD criterion, two questions for which you may have some recommendations: _ the alpha value in the MMD, I guess there is no...