Pages that link to "Item:Q2149558"
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The following pages link to Sparse optimization on measures with over-parameterized gradient descent (Q2149558):
Displaying 10 items.
- Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation (Q2079548) (← links)
- Global convergence analysis of sparse regular nonconvex optimization problems (Q3307901) (← links)
- On the uniqueness of solutions for the basis pursuit in the continuum (Q5044980) (← links)
- A rigorous framework for the mean field limit of multilayer neural networks (Q6062704) (← links)
- Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds (Q6080958) (← links)
- Estimation of off-the grid sparse spikes with over-parametrized projected gradient descent: theory and application (Q6557666) (← links)
- Proximal methods for point source localisation (Q6567231) (← links)
- Learning sparse features can lead to overfitting in neural networks (Q6611436) (← links)
- Localization of point scatterers via sparse optimization on measures (Q6623959) (← links)
- Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary (Q6632601) (← links)