Pages that link to "Item:Q5879776"
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The following pages link to Expressivity of Deep Neural Networks (Q5879776):
Displaying 12 items.
- Limitations of shallow nets approximation (Q2292226) (← links)
- On the relative expressiveness of Bayesian and neural networks (Q2302782) (← links)
- Deep vs. shallow networks: an approximation theory perspective (Q2835988) (← links)
- Deep distributed convolutional neural networks: Universality (Q4560301) (← links)
- Neural network approximation (Q5887830) (← links)
- Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits (Q6044638) (← links)
- On the capacity of deep generative networks for approximating distributions (Q6055167) (← links)
- Neural Network Approximation of Coarse-Scale Surrogates in Numerical Homogenization (Q6066782) (← links)
- Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? (Q6068870) (← links)
- Tucker network: expressive power and comparison (Q6488753) (← links)
- Neural network expression rates and applications of the deep parametric PDE method in counterparty credit risk (Q6549602) (← links)
- Deep neural network expressivity for optimal stopping problems (Q6565562) (← links)
