Pages that link to "Item:Q6055167"
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The following pages link to On the capacity of deep generative networks for approximating distributions (Q6055167):
Displaying 8 items.
- High-dimensional distribution generation through deep neural networks (Q2062235) (← links)
- Loss-sensitive generative adversarial networks on Lipschitz densities (Q2226176) (← links)
- (Q5053236) (← links)
- Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks (Q5066450) (← links)
- Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks (Q5157220) (← links)
- Approximation bounds for norm constrained neural networks with applications to regression and GANs (Q6038825) (← links)
- Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks (Q6090834) (← links)
- Geometrical Insights for Implicit Generative Modeling (Q6162298) (← links)
