Variational Autoencoder: why Gaussian distribution
88957
Why do we use Gaussian distributions in Variational Autoencoder?
17815
Understanding the minimization of mean squared error function
69737
Operator Theoretic Perspectives on Bayesian Inference
129280
Neural networks: why do we randomize the training set?
150076
Simulating the posterior of a Gaussian process
130141
Confusion related to predictive distribution of gaussian processes
16209
Importance of optimizing the correct loss function
88514
Confusion related to gaussian distribution
30561
The conditional normal distribution
133323
Intuitive explanation of Lovasz Softmax loss for Image Segmentation problems
77274
How to apply Gaussian kernel to smooth density of points on 2D (algorithmically)
79991
Why second order SGD convergence methods are unpopular for deep learning?
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
48015
What is the intuition behind conditional Gaussian distributions?
65682
Why does universal generalization work? (the rule of inference)
23038
Expected value notation in GAN loss
1456
How does the reparameterization trick for VAEs work and why is it important?