Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities.
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- Foundations of Computational Mathematics, 2023, v. 23, n. 3, p. 1043, doi. 10.1007/s10208-022-09565-9
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Works matching IS 16153375 AND DT 2023 AND VI 23 AND IP 3
Results: 6
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Free Component Analysis: Theory, Algorithms and Applications.
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- Foundations of Computational Mathematics, 2023, v. 23, n. 3, p. 973, doi. 10.1007/s10208-022-09564-w
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- Article
3
A Unified Approach to Uniform Signal Recovery From Nonlinear Observations.
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- Foundations of Computational Mathematics, 2023, v. 23, n. 3, p. 899, doi. 10.1007/s10208-022-09562-y
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- Article
4
A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization.
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- Foundations of Computational Mathematics, 2023, v. 23, n. 3, p. 833, doi. 10.1007/s10208-022-09561-z
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- Article
5
Continuity of Formal Power Series Products in Nonlinear Control Theory.
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- Foundations of Computational Mathematics, 2023, v. 23, n. 3, p. 803, doi. 10.1007/s10208-022-09560-0
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- Article
6
The Canny–Emiris Conjecture for the Sparse Resultant.
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- Foundations of Computational Mathematics, 2023, v. 23, n. 3, p. 741, doi. 10.1007/s10208-021-09547-3
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- Article