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Published 20 hours ago • verified publisher icon wgrathwohl

Regarding MNIST-RBM

Open gnobitab opened this issue 3 years ago • 0 comments

Hi authors!

Thank you for providing the source codes for the excellent work!

I have a question regarding the MNIST-RBM experiments (rbm_sample.py). It seems that all the methods are initialized with a gibbs sampling result (in other words, model.init_dist is changed by first running gibbs sampling for 5,000 steps). Did you try to sample without this initialization? Moreover, since all the methods are initialized by gibbs ( the yellow curve), why do they have a much higher log-MMD than the yellow curve? Finally, could I know what the algorithmic difference is between dim-gibbs (the blue curve) and gibbs (the yellow curve)?

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Looking forward to your replay. Thanks in advance!!!

gnobitab avatar Dec 24 '21 06:12 gnobitab