Elisa Riccietti

Orcid: 0000-0003-0864-6116

According to our database1, Elisa Riccietti authored at least 26 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A block-coordinate approach of multi-level optimization with an application to physics-informed neural networks.
Comput. Optim. Appl., November, 2024

IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration.
SIAM J. Imaging Sci., 2024

Path-metrics, pruning, and generalization.
CoRR, 2024

A path-norm toolkit for modern networks: consequences, promises and challenges.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond.
IEEE Trans. Inf. Theory, June, 2023

Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support.
SIAM J. Matrix Anal. Appl., June, 2023

Efficient Identification of Butterfly Sparse Matrix Factorizations.
SIAM J. Math. Data Sci., March, 2023

Butterfly factorization by algorithmic identification of rank-one blocks.
CoRR, 2023

Does a sparse ReLU network training problem always admit an optimum ?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-supervised learning with rotation-invariant kernels.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multilevel FISTA for Image Restoration.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
On a multilevel Levenberg-Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations.
Optim. Methods Softw., 2022

Approximation speed of quantized vs. unquantized ReLU neural networks and beyond.
CoRR, 2022

Fast Learning of Fast Transforms, with Guarantees.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
On High-Order Multilevel Optimization Strategies.
SIAM J. Optim., 2021

Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization.
J. Optim. Theory Appl., 2021

Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support.
CoRR, 2021

Identifiability in Exact Two-Layer Sparse Matrix Factorization.
CoRR, 2021

Identifiability in Exact Multilayer Sparse Matrix Factorization.
CoRR, 2021

2020
On Iterative Solution of the Extended Normal Equations.
SIAM J. Matrix Anal. Appl., 2020

2019
On the iterative solution of systems of the form A<sup>T</sup>A x=A<sup>T</sup>b+c.
CoRR, 2019

On the approximation of the solution of partial differential equations by artificial neural networks trained by a multilevel Levenberg-Marquardt method.
CoRR, 2019

2018
A Levenberg-Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients.
Numerische Mathematik, 2018

On an Elliptical Trust-Region Procedure for Ill-Posed Nonlinear Least-Squares Problems.
J. Optim. Theory Appl., 2018

2016
On an adaptive regularization for ill-posed nonlinear systems and its trust-region implementation.
Comput. Optim. Appl., 2016


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