Author of the publication

The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension.

, , and . CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising., , and . CoRR, (2023)Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling., , , and . CoRR, (2020)An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint., , and . CoRR, (2020)The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem., and . CoRR, (2018)Projected Block Coordinate Descent for sparse spike estimation., , and . CoRR, (2024)Sketched Learning for Image Denoising., , and . SSVM, volume 12679 of Lecture Notes in Computer Science, page 281-293. Springer, (2021)The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension., , and . CoRR, (2020)Projected Gradient Descent for Non-Convex Sparse Spike Estimation., , and . IEEE Signal Process. Lett., (2020)Compressive Learning of Deep Regularization for Denoising., , and . SSVM, volume 14009 of Lecture Notes in Computer Science, page 162-174. Springer, (2023)Fast off-the-grid sparse recovery with over-parametrized projected gradient descent., , and . EUSIPCO, page 2206-2210. IEEE, (2022)