Pages that link to "Item:Q5149211"
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The following pages link to Convolutional Neural Networks in Phase Space and Inverse Problems (Q5149211):
Displaying 15 items.
- Phase portrait approximation using dynamic neural networks (Q1300481) (← links)
- Circumventing the solution of inverse problems in mechanics through deep learning: application to elasticity imaging (Q1988119) (← links)
- Theory of deep convolutional neural networks. II: Spherical analysis (Q2057723) (← links)
- Fully hyperbolic convolutional neural networks (Q2079530) (← links)
- Learning phase field mean curvature flows with neural networks (Q2083658) (← links)
- Solving inverse wave scattering with deep learning (Q2136234) (← links)
- Discovering phase field models from image data with the pseudo-spectral physics informed neural networks (Q2667357) (← links)
- Finite element approximation of wave problems with correcting terms based on training artificial neural networks with fine solutions (Q2674053) (← links)
- Phase harmonic correlations and convolutional neural networks (Q5006537) (← links)
- Wide-Band Butterfly Network: Stable and Efficient Inversion Via Multi-Frequency Neural Networks (Q5050440) (← links)
- SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems (Q5240806) (← links)
- Combining gradient optimization and machine learning methods for inverse problems in layered heterogeneous media (Q6040377) (← links)
- The use of convolutional neural networks to search for fractures in the geological media (Q6043913) (← links)
- Determining Riemannian manifolds from nonlinear wave observations at a single point (Q6050814) (← links)
- A Data-Assisted Two-Stage Method for the Inverse Random Source Problem (Q6144051) (← links)