The following pages link to Neural network approximation (Q5887830):
Displaying 7 items.
- Proof of the theory-to-practice gap in deep learning via sampling complexity bounds for neural network approximation spaces (Q6592113) (← links)
- Scalable imaginary time evolution with neural network quantum states (Q6598157) (← links)
- Error analysis based on inverse modified differential equations for discovery of dynamics using linear multistep methods and deep learning (Q6601198) (← links)
- Learning the Hodgkin-Huxley model with operator learning techniques (Q6641924) (← links)
- Approximation results for gradient flow trained shallow neural networks in \(1d\) (Q6648717) (← links)
- Weighted variation spaces and approximation by shallow ReLU networks (Q6652573) (← links)
- Deep mixed residual method for solving PDE-constrained optimization problems (Q6663447) (← links)
