Supplementary Material
–Neural Information Processing Systems
Here we elaborate on the details of using SNFs as a variational approximation of the posterior distribution of a variational autoencoder (V AE) [21] as presented in our last results section. All experiments were run using PyTorch 1.2 and on GTX1080Ti cards. NSF block consists of two subsequent NSF layers with intermediate swap layers. "Biased data" is defined by running local Metropolis MC in each of the two wells. "Unbiased data" is produced by running Metropolis MC with a large proposal step (standard The other settings are the same as in Table 1.
Neural Information Processing Systems
Oct-2-2025, 18:33:41 GMT
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