Pages that link to "Item:Q1305902"

The following pages link to Lower bounds for approximation by MLP neural networks (Q1305902):

Displaying 50 items.

• Linear and nonlinear approximation of spherical radial basis function networks (Q290797) (← links)
• On the approximation by neural networks with bounded number of neurons in hidden layers (Q483038) (← links)
• Approximation by neural networks with weights varying on a finite set of directions (Q663685) (← links)
• Lower estimation of approximation rate for neural networks (Q848260) (← links)
• Geometric properties of the ridge function manifold (Q849339) (← links)
• Approximation by neural networks with a bounded number of nodes at each level (Q1395810) (← links)
• On lower bounds in radial basis approximation (Q1767050) (← links)
• Some problems in the theory of ridge functions (Q1798075) (← links)
• On best approximation of classes by radial functions (Q1867260) (← links)
• Essential rate for approximation by spherical neural networks (Q1952559) (← links)
• A neural network-based framework for financial model calibration (Q2022121) (← links)
• Model reduction and neural networks for parametric PDEs (Q2050400) (← links)
• Approximation rates for neural networks with encodable weights in smoothness spaces (Q2055067) (← links)
• On the representation by bivariate ridge functions (Q2058579) (← links)
• A theoretical analysis of deep neural networks and parametric PDEs (Q2117329) (← links)
• Approximation spaces of deep neural networks (Q2117336) (← links)
• SelectNet: self-paced learning for high-dimensional partial differential equations (Q2131038) (← links)
• An interval uncertainty analysis method for structural response bounds using feedforward neural network differentiation (Q2174709) (← links)
• On the approximation by single hidden layer feedforward neural networks with fixed weights (Q2179313) (← links)
• Probabilistic lower bounds for approximation by shallow perceptron networks (Q2181058) (← links)
• Optimal approximation of piecewise smooth functions using deep ReLU neural networks (Q2182898) (← links)
• Negative results for approximation using single layer and multilayer feedforward neural networks (Q2226355) (← links)
• Almost optimal estimates for approximation and learning by radial basis function networks (Q2251472) (← links)
• Limitations of shallow nets approximation (Q2292226) (← links)
• Approximation by neural networks and learning theory (Q2489152) (← links)
• A lower bound on the competitivity of memoryless algorithms for a generalization of the CNN problem (Q2503284) (← links)
• Pseudo-dimension and entropy of manifolds formed by affine-invariant dictionary (Q2509171) (← links)
• Phase transitions in rate distortion theory and deep learning (Q2684466) (← links)
• A three layer neural network can represent any multivariate function (Q2697707) (← links)
• Complexity of Shallow Networks Representing Finite Mappings (Q2814145) (← links)
• The capability of approximation for neural networks interpolant on the sphere (Q3081398) (← links)
• The estimate for approximation error of spherical neural networks (Q3174265) (← links)
• Approximation by ridge functions and neural networks with a bounded number of neurons (Q3452446) (← links)
• (Q4938227) (← links)
• Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth (Q5004339) (← links)
• Optimal Approximation with Sparsely Connected Deep Neural Networks (Q5025773) (← links)
• (Q5043153) (← links)
• (Q5080573) (← links)
• Deep Network Approximation Characterized by Number of Neurons (Q5162359) (← links)
• Equivalence of approximation by convolutional neural networks and fully-connected networks (Q5218202) (← links)
• Deep neural networks for rotation-invariance approximation and learning (Q5236745) (← links)
• Approximation by sums of ridge functions with fixed directions (Q5369335) (← links)
• Computing the Approximation Error for Neural Networks with Weights Varying on Fixed Directions (Q5378401) (← links)
• A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function (Q5380543) (← links)
• Neural network approximation: three hidden layers are enough (Q6054944) (← links)
• Approximation capabilities of neural networks on unbounded domains (Q6055159) (← links)
• Approximating smooth and sparse functions by deep neural networks: optimal approximation rates and saturation (Q6062170) (← links)
• The Kolmogorov-Arnold representation theorem revisited (Q6078698) (← links)
• Lower bounds for artificial neural network approximations: a proof that shallow neural networks fail to overcome the curse of dimensionality (Q6155895) (← links)
• Approximation error of single hidden layer neural networks with fixed weights (Q6195340) (← links)