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.
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.
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.
anomaly_in_testset OP t1_iumt3jc wrote
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.