Massimo Fornasier

According to our database1, Massimo Fornasier authored at least 43 papers between 2005 and 2021.

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



In proceedings 
PhD thesis 


Online presence:



Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples.
CoRR, 2021

Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements.
Appl. Math. Comput., 2021

A Relaxed Kačanov iteration for the <i>p</i>-poisson problem.
Numerische Mathematik, 2020

Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit.
CoRR, 2020

Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning.
CoRR, 2020

Data-driven Evolutions of Critical Points.
CoRR, 2019

Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks.
CoRR, 2019

Identification of Shallow Neural Networks by Fewest Samples.
CoRR, 2018

Mean-Field Pontryagin Maximum Principle.
J. Optim. Theory Appl., 2017

Conjugate gradient acceleration of iteratively re-weighted least squares methods.
Comput. Optim. Appl., 2016

Compressive Sensing.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing.
IEEE Trans. Signal Process., 2015

Anisotropic Mesh Adaptation for Crack Detection In Brittle Materials.
SIAM J. Sci. Comput., 2015

Sparse control of alignment models in high dimension.
Networks Heterog. Media, 2015

Parameter Choice Strategies for Multipenalty Regularization.
SIAM J. Numer. Anal., 2014

Asymptotic Behavior of Gradient Flows Driven by Nonlocal Power Repulsion and Attraction Potentials in One Dimension.
SIAM J. Math. Anal., 2014

Sparse stabilization of dynamical systems driven by attraction and avoidance forces.
Networks Heterog. Media, 2014

Quasi-linear Compressed Sensing.
Multiscale Model. Simul., 2014

Sparse control of force field dynamics.
Proceedings of the 7th International Conference on NETwork Games, COntrol and OPtimization, 2014

Mean-field optimal control by leaders.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Linearly Constrained Nonsmooth and Nonconvex Minimization.
SIAM J. Optim., 2013

Anisotropic Adaptive Meshes for Brittle Fractures: Parameter Sensitivity.
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013

Wavelet Decomposition Method for L<sub>2/</sub>/TV-Image Deblurring.
SIAM J. Imaging Sci., 2012

Multilevel preconditioning and adaptive sparse solution of inverse problems.
Math. Comput., 2012

Learning Functions of Few Arbitrary Linear Parameters in High Dimensions.
Found. Comput. Math., 2012

Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization.
SIAM J. Optim., 2011

Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension.
Multiscale Model. Simul., 2011

A convergent overlapping domain decomposition method for total variation minimization.
Numerische Mathematik, 2010

Optimal adaptive computations in the Jaffard algebra and localized frames.
J. Approx. Theory, 2010

Iterative Thresholding Meets Free-Discontinuity Problems.
Found. Comput. Math., 2010

Theoretical Foundations and Numerical Methods for Sparse Recovery.
Radon Series on Computational and Applied Mathematics 9, de Gruyter, ISBN: 978-3-11-022614-0, 2010

Subspace Correction Methods for Total Variation and <sub>1</sub>-Minimization.
SIAM J. Numer. Anal., 2009

The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem.
Adv. Comput. Math., 2009

Compressive Algorithms-Adaptive Solutions of PDEs and Variational Problems.
Proceedings of the Mathematics of Surfaces XIII, 2009

Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints.
SIAM J. Numer. Anal., 2008

Adaptive frame methods for nonlinear variational problems.
Numerische Mathematik, 2008

Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Restoration of Color Images by Vector Valued BV Functions and Variational Calculus.
SIAM J. Appl. Math., 2007

Adaptive frame methods for elliptic operator equations.
Adv. Comput. Math., 2007

Faithful Recovery of Vector Valued Functions from Incomplete Data.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Nonlinear Projection Recovery in Digital Inpainting for Color Image Restoration.
J. Math. Imaging Vis., 2006

Fast, robust and efficient 2D pattern recognition for re-assembling fragmented images.
Pattern Recognit., 2005

Fast homogenization algorithm based on asymptotic theory and multiscale schemes.
Numer. Algorithms, 2005