Pages that link to "Item:Q1742817"

The following pages link to Provable approximation properties for deep neural networks (Q1742817):

Displaying 50 items.

• Efficient approximation of solutions of parametric linear transport equations by ReLU DNNs (Q2026114) (← links)
• Topological properties of the set of functions generated by neural networks of fixed size (Q2031060) (← links)
• Numerical solution of the parametric diffusion equation by deep neural networks (Q2049099) (← links)
• Gabor neural networks with proven approximation properties (Q2050710) (← links)
• Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem (Q2055036) (← links)
• Approximation rates for neural networks with encodable weights in smoothness spaces (Q2055067) (← links)
• Theory of deep convolutional neural networks. II: Spherical analysis (Q2057723) (← links)
• A direct approach for function approximation on data defined manifolds (Q2057766) (← links)
• High-dimensional distribution generation through deep neural networks (Q2062235) (← links)
• Holomorphic feedforward networks (Q2074854) (← links)
• The construction and approximation of ReLU neural network operators (Q2086452) (← links)
• Stable recovery of entangled weights: towards robust identification of deep neural networks from minimal samples (Q2105108) (← links)
• A measure theoretical approach to the mean-field maximum principle for training NeurODEs (Q2105521) (← links)
• Representation formulas and pointwise properties for Barron functions (Q2113295) (← links)
• A theoretical analysis of deep neural networks and parametric PDEs (Q2117329) (← links)
• Nonlinear approximation and (deep) ReLU networks (Q2117331) (← links)
• Depth separations in neural networks: what is actually being separated? (Q2117335) (← links)
• Approximation spaces of deep neural networks (Q2117336) (← links)
• Robust and resource-efficient identification of two hidden layer neural networks (Q2117339) (← links)
• Universal approximation of symmetric and anti-symmetric functions (Q2149203) (← links)
• Approximation properties of deep ReLU CNNs (Q2157922) (← links)
• Theory of deep convolutional neural networks: downsampling (Q2185717) (← links)
• Universal approximation with quadratic deep networks (Q2185719) (← links)
• Rapid estimation of permeability from digital rock using 3D convolutional neural network (Q2192827) (← links)
• PDE-Net 2.0: learning PDEs from data with a numeric-symbolic hybrid deep network (Q2222627) (← links)
• Error bounds for approximations with deep ReLU networks (Q2292227) (← links)
• Universality of deep convolutional neural networks (Q2300759) (← links)
• MgNet: a unified framework of multigrid and convolutional neural network (Q2316958) (← links)
• Analysis of time-frequency scattering transforms (Q2424627) (← links)
• Machine learning based data retrieval for inverse scattering problems with incomplete data (Q2660886) (← links)
• Side effects of learning from low-dimensional data embedded in a Euclidean space (Q2687305) (← links)
• Growing axons: greedy learning of neural networks with application to function approximation (Q2689211) (← links)
• Approximation with one-bit polynomials in Bernstein form (Q2700876) (← links)
• On the proof complexity of deep inference (Q2946572) (← links)
• Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography (Q4997381) (← links)
• (Q4998934) (← links)
• Deep Neural Network Approximation Theory (Q5001568) (← links)
• Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models (Q5014167) (← links)
• Optimal Approximation with Sparsely Connected Deep Neural Networks (Q5025773) (← links)
• Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black--Scholes Partial Differential Equations (Q5037569) (← links)
• (Q5053184) (← links)
• Approximations with deep neural networks in Sobolev time-space (Q5075578) (← links)
• Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions (Q5079533) (← links)
• Surgery of frames in Hilbert spaces (Q5079584) (← links)
• Full error analysis for the training of deep neural networks (Q5083408) (← links)
• A note on the applications of one primary function in deep neural networks (Q5097859) (← links)
• Wavelet neural networks functional approximation and application (Q5097861) (← links)
• Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective (Q5131154) (← links)
• Deep ReLU networks and high-order finite element methods (Q5132226) (← links)
• Error bounds for approximations with deep ReLU neural networks in Ws,p norms (Q5132228) (← links)