Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Some new results on neural network approximation
Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
Multi-layer feedforward networks are uni-versal approximators
Deep Neural Network Approximation using Tensor Sketching
Nearly-tight VC-dimension bounds for piecewise linear neural networks
Optimal Linear Combinations of Neural Networks
LOBAL OPTIMALITY CONDITIONS FOR DEEP NEURAL NETWORKS
CONTRIBUTION Approximation Capabilities of Muitilayer Feedforward Networks
Robust radial basis function neural networks
An efficient method for evaluating polynomial and rational function approximations
the lagrange interpolation polynomial for neural network learning .
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Networks and the best approximation property
Universal approximation using feedforward networks with non-sigmoid hidden layer activation functions
Kolmogorov's theorem and multilayer neural networks
Piecewise convexity of artificial neural networks
Artificial neural networks with adaptive multidimensional spline activation functions
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations
Analog computation via neural networks
An Algorithm for Training Polynomial Networks
Deterministic convergence of conjugate gradient method for feedforward neural networks
Neural Net and Traditional Classifiers
Movie summarization based on audiovisual saliency detection
Perspective of Feature Selection Techniques in Bioinformatics
Tea tree oil: contact allergy and chemical composition
The Effects and Antecedents of Conflict in Free and Open Source Software Development