Pages that link to "Item:Q6101269"
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The following pages link to Exponential ReLU neural network approximation rates for point and edge singularities (Q6101269):
Displaying 11 items.
- Exponential ReLU DNN expression of holomorphic maps in high dimension (Q2117341) (← links)
- ReLU deep neural networks from the hierarchical basis perspective (Q2159911) (← links)
- ReLU neural networks of polynomial size for exact maximum flow computation (Q6086001) (← links)
- Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations (Q6108133) (← links)
- Analytic regularity and solution approximation for a semilinear elliptic partial differential equation in a polygon (Q6142556) (← links)
- Learning homogenization for elliptic operators (Q6583661) (← links)
- Deep ReLU networks and high-order finite element methods. II: Chebyšev emulation (Q6585367) (← links)
- Neural and spectral operator surrogates: unified construction and expression rate bounds (Q6601288) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
- Multivariate rational approximation of functions with curves of singularities (Q6638205) (← links)
- Learning the Hodgkin-Huxley model with operator learning techniques (Q6641924) (← links)
