anomaly_in_testset OP t1_iumt3jc wrote on November 1, 2022 at 3:06 PM

Reply to comment by asdfsr125 in [P] Need pretrained EBMs for benchmarks by anomaly_in_testset

Thank you. I saw this paper, repo and its a great piece of work. Sadly, this is a hierarchical model and will create some problems in comparison to my work.

anomaly_in_testset OP t1_iumsg7j wrote on November 1, 2022 at 3:02 PM

Reply to comment by new_name_who_dis_ in [P] Need pretrained EBMs for benchmarks by anomaly_in_testset

I will definitely do that! Thanks for the suggestion.

anomaly_in_testset OP t1_iumdvp1 wrote on November 1, 2022 at 1:17 PM

Reply to comment by dasayan05 in [P] Need pretrained EBMs for benchmarks by anomaly_in_testset

Thanks for the reply and apologies for not being clear. Any EBM which has been trained on denoising score matching, contrasive divergence, noise contrastive estimate based would be nice.

Edit: I have updated my question. Thanks.

anomaly_in_testset t1_itlgf25 wrote on October 24, 2022 at 2:56 PM

Reply to comment by Mefaso in [D] Building the Future of TensorFlow by eparlan

Yes Jax is faster

anomaly_in_testset t1_itgwh3d wrote on October 23, 2022 at 3:48 PM

Reply to [D] Building the Future of TensorFlow by eparlan

I am primarily a TF 2.x user and have started using Jax as most of my thesis. For me, this is a huge update since TF doesn't support item assignments, numpy like behavior etc. And XLA is a huge update as the speed difference in Jax and TF is significant. So overall, I am very excited.