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New advances in universal approximation with neural networks of minimal width
Arxiv
0+阅读 · 11月16日
New advances in universal approximation with neural networks of minimal width
Arxiv
0+阅读 · 11月13日
Hard-Constrained Neural Networks with Universal Approximation Guarantees
Arxiv
0+阅读 · 10月14日
Universal approximation property of ODENet and ResNet with a single activation function
Arxiv
0+阅读 · 10月22日
Universal approximation property of Banach space-valued random feature models including random neural networks
Arxiv
0+阅读 · 10月22日
Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
Arxiv
0+阅读 · 10月18日
Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
Arxiv
0+阅读 · 10月23日
Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
Arxiv
0+阅读 · 10月3日
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
Arxiv
0+阅读 · 10月3日
Leray-Schauder Mappings for Operator Learning
Arxiv
0+阅读 · 10月2日
Schrodinger's Memory: Large Language Models
Arxiv
0+阅读 · 9月27日
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry
Arxiv
0+阅读 · 9月25日
Numerical Approximation Capacity of Neural Networks with Bounded Parameters: Do Limits Exist, and How Can They Be Measured?
Arxiv
0+阅读 · 9月25日
Addressing common misinterpretations of KART and UAT in neural network literature
Arxiv
0+阅读 · 8月30日
Addressing Common Misinterpretations of KART and UAT in Neural Network Literature
Arxiv
0+阅读 · 8月29日
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