[P] Need pretrained EBMs for benchmarks

Submitted by anomaly_in_testset t3_yj868d in MachineLearning

Hi guys.

My question is simple. Is there any good place to find an energy based model that has been trained on celebA dataset? The training algorithm of choice can be anything, for instance denoising score matching, contrastive divergence etc. I am just benchmarking my own model and wanted some simple baselines as I don't want to train from scratch. My project is still in early stages so the pretrained EBM doesn't have to be particularly SOTA. So any simple model would suffice for now but with decent generative performance. Hence the need for EBM weights. Any help is appreciated.

Thanks.

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dasayan05 t1_iumd15y wrote

EBM is a broad category of models that uses energy functions. Which one(s) do you need?

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anomaly_in_testset OP t1_iumdvp1 wrote

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.

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new_name_who_dis_ t1_iumllqy wrote

I don't know if there is one but since you brought this up you should consider publishing your model as a benchmark once you're done, so that the next person who has this same problem will have a solution as well!

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