Compressed sensing

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Compressed sensing

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

Learned Compressive Representations for Single-Photon 3D Imaging

The inductive bias of deep learning: Connecting weights and functions

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

Towards learning-based denoising of light fields

A Structured Dictionary Perspective on Implicit Neural Representations

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

From Undercomplete to Sparse Overcomplete Autoencoders to Improve LF-MMI Speech Recognition

Sparsest piecewise-linear regression of one-dimensional data