Pages that link to "Item:Q2077570"
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The following pages link to Deep regularization and direct training of the inner layers of neural networks with kernel flows (Q2077570):
Displaying 10 items.
- Learning ``best'' kernels from data in Gaussian process regression. With application to aerodynamics (Q2083686) (← links)
- Do ideas have shape? Idea registration as the continuous limit of artificial neural networks (Q2111734) (← links)
- Kernel flows: from learning kernels from data into the abyss (Q2218193) (← links)
- Computational graph completion (Q2671739) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. III: Irregularly-sampled time series (Q2677775) (← links)
- On the regularization of convolutional kernel tensors in neural networks (Q5095242) (← links)
- On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation (Q5131164) (← links)
- (Q5159443) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. V: Sparse kernel flows for 132 chaotic dynamical systems (Q6496480) (← links)
- Hausdorff metric based training of kernels to learn attractors with application to 133 chaotic dynamical systems (Q6558876) (← links)
