Pages that link to "Item:Q4562132"
From MaRDI portal
The following pages link to Approximation by Combinations of ReLU and Squared ReLU Ridge Functions With <inline-formula> <tex-math notation="LaTeX">$\ell^1$ </tex-math> </inline-formula> and <inline-formula> (Q4562132):
Displaying 41 items.
- Theory of deep convolutional neural networks. II: Spherical analysis (Q2057723) (← links)
- Approximation of functions from korobov spaces by deep convolutional neural networks (Q2108977) (← links)
- Representation formulas and pointwise properties for Barron functions (Q2113295) (← links)
- Depth separations in neural networks: what is actually being separated? (Q2117335) (← links)
- High-order approximation rates for shallow neural networks with cosine and \(\mathrm{ReLU}^k\) activation functions (Q2118396) (← links)
- Approximation properties of deep ReLU CNNs (Q2157922) (← links)
- Uniform approximation rates and metric entropy of shallow neural networks (Q2157931) (← links)
- ReLU deep neural networks from the hierarchical basis perspective (Q2159911) (← links)
- Nonconvex regularization for sparse neural networks (Q2168678) (← links)
- Theory of deep convolutional neural networks: downsampling (Q2185717) (← links)
- Universality of deep convolutional neural networks (Q2300759) (← links)
- Greedy training algorithms for neural networks and applications to PDEs (Q2699382) (← links)
- (Q4633011) (← links)
- Deep Adaptive Basis Galerkin Method for High-Dimensional Evolution Equations With Oscillatory Solutions (Q5038412) (← links)
- Deep Ritz Method for the Spectral Fractional Laplacian Equation Using the Caffarelli--Silvestre Extension (Q5095480) (← links)
- (Q5148959) (← links)
- Approximating functions with multi-features by deep convolutional neural networks (Q5873927) (← links)
- A New Function Space from Barron Class and Application to Neural Network Approximation (Q5878925) (← links)
- Neural network approximation (Q5887830) (← links)
- Deep Neural Networks for Solving Large Linear Systems Arising from High-Dimensional Problems (Q6054285) (← links)
- Theory of deep convolutional neural networks. III: Approximating radial functions (Q6055154) (← links)
- Rates of approximation by ReLU shallow neural networks (Q6062171) (← links)
- A priori generalization error analysis of two-layer neural networks for solving high dimensional Schrödinger eigenvalue problems (Q6076649) (← links)
- Characterization of the variation spaces corresponding to shallow neural networks (Q6101230) (← links)
- Approximation bounds for random neural networks and reservoir systems (Q6103961) (← links)
- SignReLU neural network and its approximation ability (Q6126040) (← links)
- Error bounds for approximations using multichannel deep convolutional neural networks with downsampling (Q6155792) (← links)
- Lower bounds for artificial neural network approximations: a proof that shallow neural networks fail to overcome the curse of dimensionality (Q6155895) (← links)
- Deep learning theory of distribution regression with CNNs (Q6168055) (← links)
- Approximation of nonlinear functionals using deep ReLU networks (Q6170363) (← links)
- Learning ability of interpolating deep convolutional neural networks (Q6185680) (← links)
- Two-layer networks with the \(\text{ReLU}^k\) activation function: Barron spaces and derivative approximation (Q6191372) (← links)
- Causal inference of general treatment effects using neural networks with a diverging number of confounders (Q6193012) (← links)
- Approximation of smooth functionals using deep ReLU networks (Q6488836) (← links)
- Sharp Bounds on the Approximation Rates, Metric Entropy, and n-Widths of Shallow Neural Networks (Q6489780) (← links)
- Approximation analysis of CNNs from a feature extraction view (Q6496341) (← links)
- Approximation of functions from Korobov spaces by shallow neural networks (Q6544585) (← links)
- Gauss Newton method for solving variational problems of PDEs with neural network discretizaitons (Q6569679) (← links)
- Construction and approximation rate for feedforward neural network operators with sigmoidal functions (Q6591537) (← 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)
