All Questions
4 questions
2
votes
0
answers
174
views
Maximum Mean Discrepancy (MMD) implementation as a metric to measure GAN performance [closed]
I am trying to evaluate the performance of the GAN model, I have trained. I found that there exist two major choices FID (Fréchet inception distance) and MMD (Maximum Mean Discrepancy) for comparing ...
- 21
0
votes
1
answer
102
views
Normalizing Flows Invertibility
I am currently reading up on RealNVP, which has the following transformations according Lilian Weng:
$$
\begin{aligned}
\mathbf{y}_{1:d} &= \mathbf{x}_{1:d} \\
\mathbf{y}_{d+1:D} &= \mathbf{x}...
- 19
3
votes
1
answer
1k
views
How to find bits/dim of a gaussian output distribution?
I have images that are 64x64x3 and 64x64x1 8-bit. I transform those images down to [-1,1]. I now want to find the bits/dim for my VAE log probability. How do I find the bits/dim of the log likelihood? ...
- 65
5
votes
1
answer
118
views
Convergence to gradient in limit of variance
I came across this equation in the original GAN paper (pg 2 https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf):
$$\lim_{\sigma \rightarrow 0}
\nabla_{\bf x} \mathbb{E}_{\epsilon \sim \...
- 205