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I find that the gaussian basis must be fixed instead of random sampling in the training process. This makes me confused about the connection of the bochner's theorem.
Have you considered that combining VAE to parameterize the fourier feature will make some surprising results? Maybe the disentengled representation learning can have another direction in the research.
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The text was updated successfully, but these errors were encountered: