On an adaptive regularization for ill-posed nonlinear systems and its trust-region implementation. - Stefania Bellavia; Benedetta Morini; Elisa Riccietti (Comput. Optim. Appl., 2016)

On an Elliptical Trust-Region Procedure for Ill-Posed Nonlinear Least-Squares Problems. - Stefania Bellavia; Elisa Riccietti (J. Optim. Theory Appl., 2018)

A Levenberg-Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients. - Stefania Bellavia; Serge Gratton; Elisa Riccietti (Numerische Mathematik, 2018)

On the approximation of the solution of partial differential equations by artificial neural networks trained by a multilevel Levenberg-Marquardt method. - Henri Calandra; Serge Gratton; Elisa Riccietti; Xavier Vasseur (CoRR, 2019)

On the iterative solution of systems of the form ATA x=ATb+c. - Henri Calandra; Serge Gratton; Elisa Riccietti; Xavier Vasseur (CoRR, 2019)

On Iterative Solution of the Extended Normal Equations. - Henri Calandra; Serge Gratton; Elisa Riccietti; Xavier Vasseur (SIAM J. Matrix Anal. Appl., 2020)

Identifiability in Exact Multilayer Sparse Matrix Factorization. - Léon Zheng; Rémi Gribonval; Elisa Riccietti (CoRR, 2021)

Identifiability in Exact Two-Layer Sparse Matrix Factorization. - Léon Zheng; Rémi Gribonval; Elisa Riccietti (CoRR, 2021)

Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support. - Quoc-Tung Le; Elisa Riccietti; Rémi Gribonval (CoRR, 2021)

Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization. - Ana Luísa Custódio; Youssef Diouane; Rohollah Garmanjani; Elisa Riccietti (J. Optim. Theory Appl., 2021)

On High-Order Multilevel Optimization Strategies. - Henri Calandra; Serge Gratton; Elisa Riccietti; Xavier Vasseur (SIAM J. Optim., 2021)

Fast Learning of Fast Transforms, with Guarantees. - Quoc-Tung Le; Léon Zheng; Elisa Riccietti; Rémi Gribonval (ICASSP, 2022)

Approximation speed of quantized vs. unquantized ReLU neural networks and beyond. - Antoine Gonon; Nicolas Brisebarre; Rémi Gribonval; Elisa Riccietti (CoRR, 2022)

On a multilevel Levenberg-Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations. - Henri Calandra; Serge Gratton; Elisa Riccietti; Xavier Vasseur (Optim. Methods Softw., 2022)

Multilevel FISTA for Image Restoration. - Guillaume Lauga; Elisa Riccietti; Nelly Pustelnik; Paulo Gonçalves 001 (ICASSP, 2023)

Self-supervised learning with rotation-invariant kernels. - Léon Zheng; Gilles Puy; Elisa Riccietti; Patrick Pérez; Rémi Gribonval (ICLR, 2023)

Does a sparse ReLU network training problem always admit an optimum ? - Quoc-Tung Le; Rémi Gribonval; Elisa Riccietti (NeurIPS, 2023)

Butterfly factorization by algorithmic identification of rank-one blocks. - Léon Zheng; Gilles Puy; Elisa Riccietti; Patrick Pérez; Rémi Gribonval (CoRR, 2023)

Efficient Identification of Butterfly Sparse Matrix Factorizations. - Léon Zheng; Elisa Riccietti; Rémi Gribonval (SIAM J. Math. Data Sci., 2023)

Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support. - Quoc-Tung Le; Elisa Riccietti; Rémi Gribonval (SIAM J. Matrix Anal. Appl., 2023)

Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond. - Antoine Gonon; Nicolas Brisebarre; Rémi Gribonval; Elisa Riccietti (IEEE Trans. Inf. Theory, 2023)

A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging. - Guillaume Lauga; Audrey Repetti; Elisa Riccietti; Nelly Pustelnik; Paulo Gonçalves 001; Yves Wiaux (EUSIPCO, 2024)

A path-norm toolkit for modern networks: consequences, promises and challenges. - Antoine Gonon; Nicolas Brisebarre; Elisa Riccietti; Rémi Gribonval (ICLR, 2024)

Path-metrics, pruning, and generalization. - Antoine Gonon; Nicolas Brisebarre; Elisa Riccietti; Rémi Gribonval (CoRR, 2024)

A multilevel stochastic regularized first-order method with application to training. - Filippo Marini; Margherita Porcelli; Elisa Riccietti (CoRR, 2024)

IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration. - Guillaume Lauga; Elisa Riccietti; Nelly Pustelnik; Paulo Gonçalves 001 (SIAM J. Imaging Sci., 2024)

A block-coordinate approach of multi-level optimization with an application to physics-informed neural networks. - Serge Gratton; Valentin Mercier; Elisa Riccietti; Philippe L. Toint (Comput. Optim. Appl., 2024)

Mixed precision accumulation for neural network inference guided by componentwise forward error analysis. - El-Mehdi El Arar; Silviu-Ioan Filip; Theo Mary; Elisa Riccietti (CoRR, 2025)