The following pages link to (Q4636996):
Displaying 23 items.
- The Little Engine that Could: Regularization by Denoising (RED) (Q148569) (← links)
- Adversarial noise attacks of deep learning architectures: stability analysis via sparse-modeled signals (Q1988345) (← links)
- A convex variational model for learning convolutional image atoms from incomplete data (Q1988356) (← links)
- Theory of deep convolutional neural networks. II: Spherical analysis (Q2057723) (← links)
- Convergence of slice-based block coordinate descent algorithm for convolutional sparse coding (Q2193348) (← links)
- Inference, learning and attention mechanisms that exploit and preserve sparsity in CNNs (Q2193592) (← links)
- Generalization Error in Deep Learning (Q3296180) (← links)
- Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding (Q4621924) (← links)
- Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning (Q4622304) (← links)
- Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems (Q4689753) (← links)
- First- and Second-Order Methods for Online Convolutional Dictionary Learning (Q4689772) (← links)
- (Q4945069) (← links)
- Maximal Function Pooling with Applications (Q5020148) (← links)
- Multi-Layer Sparse Coding: The Holistic Way (Q5025774) (← links)
- Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction (Q5056920) (← links)
- Prevalence of neural collapse during the terminal phase of deep learning training (Q5073172) (← links)
- Stability Analysis of $\ell _{0,\infty }$-Norm Based Convolutional Sparse Coding Using Stripe Coherence (Q5103142) (← links)
- On the Purity and Entropy of Mixed Gaussian States (Q5230194) (← links)
- Solving inverse problems using data-driven models (Q5230520) (← links)
- A Greedy Approach to $\ell_{0,\infty}$-Based Convolutional Sparse Coding (Q5236637) (← links)
- Approximation Analysis of Convolutional Neural Networks (Q6090346) (← links)
- $$\kappa $$-Circulant Maximum Variance Bases (Q6488137) (← links)
- Learning the sparse prior: modern approaches (Q6604367) (← links)
