Hojjat Karami
Hojjat Karami
Hi, I have the following issue regarding calculating LL in Utils.py in line 49 inside the function "compute_integral_unbiased": temp_hid = torch.sum(temp_hid * type_mask[:, 1:, :], dim=2, keepdim=True) you have only...
Hello, are you sure about the metrics that you have reported for P12 on Table 1? none of baseline methods have reported such high AUPRC for this dataset.
Hello, could you please kindly share with me how did you adapt TimeGAN and DoppelGANger to irregularly sampled time series dataset? I would appreciate it if you have any code...
Hello, could you please tell me the `--python-seed` argument that you have used? I would like to replicate `discriminative` and `predictive` scores for stock and energy datasets. I tried the...
Hello, do you use any privacy-preserving metrics to ensure that the synthetic data is somehow different than the real data?
Hello, First, thank you for your very-well written code, which made it easy for me to get started with it. I managed to replicate one of your results: Table 3-...
## Feature Description I have developed a GAN framework for generating irregularly sampled time series with missing values, however, I cannot add it to synthcity as it does not support...