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Regularization Networks for Inverse Problems: A state-space approach

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Regularization Networks for Inverse Problems: A state-space approach

Graph Chatbot

Chattez avec Graph Search

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Regularization of polynomial networks for image recognition

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Deep Learning Generalization with Limited and Noisy Labels

Benign Overfitting in Deep Neural Networks under Lazy Training

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

Leveraging Unlabeled Data to Track Memorization

A Neural-Network-Based Convex Regularizer for Inverse Problems

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition