Massimo Fornasier

According to our database, Massimo Fornasier authored at least 53 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Consensus-Based Optimization Methods Converge Globally.

Massimo Fornasier, Timo Klock, Konstantin Riedl

SIAM J. Optim., 2024

Solving partial differential equations with sampled neural networks.

Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich

CoRR, 2024

2023

Approximation Theory, Computing, and Deep Learning on the Wasserstein Space.

Massimo Fornasier, Pascal Heid, Giacomo Enrico Sodini

CoRR, 2023

From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks.

Cristina Cipriani, Massimo Fornasier, Alessandro Scagliotti

CoRR, 2023

Gradient is All You Need?

Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier

CoRR, 2023

2022

Anisotropic Diffusion in Consensus-Based Optimization on the Sphere.

Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen

SIAM J. Optim., September, 2022

Finite Sample Identification of Wide Shallow Neural Networks with Biases.

Massimo Fornasier, Timo Klock, Marco Mondelli, Michael Rauchensteiner

CoRR, 2022

Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law.

Massimo Fornasier, Timo Klock, Konstantin Riedl

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning.

Massimo Fornasier, Lorenzo Pareschi, Hui Huang, Philippe Sünnen

J. Mach. Learn. Res., 2021

Consensus-based optimization methods converge globally in mean-field law.

Massimo Fornasier, Timo Klock, Konstantin Riedl

CoRR, 2021

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

Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner

CoRR, 2021

Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements.

Massimo Fornasier, Johannes Maly, Valeriya Naumova

Appl. Math. Comput., 2021

2020

A Relaxed Kačanov iteration for the <i>p</i>-poisson problem.

Lars Diening, Massimo Fornasier, Roland Tomasi, Maximilian Wank

Numerische Mathematik, 2020

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

Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen

CoRR, 2020

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

Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen

CoRR, 2020

2019

Data-driven Evolutions of Critical Points.

Stefano Almi, Massimo Fornasier, Richard Huber

CoRR, 2019

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

Massimo Fornasier, Timo Klock, Michael Rauchensteiner

CoRR, 2019

2018

Identification of Shallow Neural Networks by Fewest Samples.

Massimo Fornasier, Jan Vybíral, Ingrid Daubechies

CoRR, 2018

2017

Mean-Field Pontryagin Maximum Principle.

Mattia Bongini, Massimo Fornasier, Francesco Rossi, Francesco Solombrino

J. Optim. Theory Appl., 2017

2016

Conjugate gradient acceleration of iteratively re-weighted least squares methods.

Massimo Fornasier, Steffen Peter, Holger Rauhut, Stephan Worm

Comput. Optim. Appl., 2016

2015

Compressive Sensing.

Massimo Fornasier, Holger Rauhut

Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing.

Steffen Peter, Marco Artina, Massimo Fornasier

IEEE Trans. Signal Process., 2015

Anisotropic Mesh Adaptation for Crack Detection In Brittle Materials.

Marco Artina, Massimo Fornasier, Stefano Micheletti, Simona Perotto

SIAM J. Sci. Comput., 2015

Sparse control of alignment models in high dimension.

Mattia Bongini, Massimo Fornasier, Oliver Junge, Benjamin Scharf

Networks Heterog. Media, 2015

2014

Parameter Choice Strategies for Multipenalty Regularization.

Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev

SIAM J. Numer. Anal., 2014

Asymptotic Behavior of Gradient Flows Driven by Nonlocal Power Repulsion and Attraction Potentials in One Dimension.

Marco Di Francesco, Massimo Fornasier, Jan-Christian Hütter, Daniel Matthes

SIAM J. Math. Anal., 2014

Sparse stabilization of dynamical systems driven by attraction and avoidance forces.

Mattia Bongini, Massimo Fornasier

Networks Heterog. Media, 2014

Quasi-linear Compressed Sensing.

Martin Ehler, Massimo Fornasier, Juliane Sigl

Multiscale Model. Simul., 2014

Sparse control of force field dynamics.

Mattia Bongini, Massimo Fornasier, Fabian Frcohlich, Laleh Haghverdi

Proceedings of the 7th International Conference on NETwork Games, COntrol and OPtimization, 2014

Mean-field optimal control by leaders.

Massimo Fornasier, Benedetto Piccoli, Nastassia Pouradier Duteil, Francesco Rossi

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Linearly Constrained Nonsmooth and Nonconvex Minimization.

Marco Artina, Massimo Fornasier, Francesco Solombrino

SIAM J. Optim., 2013

Anisotropic Adaptive Meshes for Brittle Fractures: Parameter Sensitivity.

Marco Artina, Massimo Fornasier, Stefano Micheletti, Simona Perotto

Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013

2012

Wavelet Decomposition Method for L_2//TV-Image Deblurring.

Massimo Fornasier, Yunho Kim, Andreas Langer, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., 2012

Multilevel preconditioning and adaptive sparse solution of inverse problems.

Stephan Dahlke, Massimo Fornasier, Thorsten Raasch

Math. Comput., 2012

Learning Functions of Few Arbitrary Linear Parameters in High Dimensions.

Massimo Fornasier, Karin Schnass, Jan Vybíral

Found. Comput. Math., 2012

2011

Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization.

Massimo Fornasier, Holger Rauhut, Rachel A. Ward

SIAM J. Optim., 2011

Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension.

Massimo Fornasier, Jan Haskovec, Jan Vybíral

Multiscale Model. Simul., 2011

2010

A convergent overlapping domain decomposition method for total variation minimization.

Massimo Fornasier, Andreas Langer, Carola-Bibiane Schönlieb

Numerische Mathematik, 2010

Optimal adaptive computations in the Jaffard algebra and localized frames.

Stephan Dahlke, Massimo Fornasier, Karlheinz Gröchenig

J. Approx. Theory, 2010

Iterative Thresholding Meets Free-Discontinuity Problems.

Massimo Fornasier, Rachel A. Ward

Found. Comput. Math., 2010

Theoretical Foundations and Numerical Methods for Sparse Recovery.

Massimo Fornasier

Radon Series on Computational and Applied Mathematics 9, de Gruyter, ISBN: 978-3-11-022614-0, 2010

2009

Subspace Correction Methods for Total Variation and ₁-Minimization.

Massimo Fornasier, Carola-Bibiane Schönlieb

SIAM J. Numer. Anal., 2009

The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem.

Massimo Fornasier, Ronny Ramlau, Gerd Teschke

Adv. Comput. Math., 2009

Compressive Algorithms-Adaptive Solutions of PDEs and Variational Problems.

Massimo Fornasier

Proceedings of the Mathematics of Surfaces XIII, 2009

2008

Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints.

Massimo Fornasier, Holger Rauhut

SIAM J. Numer. Anal., 2008

Adaptive frame methods for nonlinear variational problems.

Maria Charina, Costanza Conti, Massimo Fornasier

Numerische Mathematik, 2008

Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery.

Ingrid Daubechies, Ronald A. DeVore, Massimo Fornasier, C. Sinan Güntürk

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007

Restoration of Color Images by Vector Valued BV Functions and Variational Calculus.

Massimo Fornasier, Riccardo March

SIAM J. Appl. Math., 2007

Adaptive frame methods for elliptic operator equations.

Stephan Dahlke, Massimo Fornasier, Thorsten Raasch

Adv. Comput. Math., 2007

Faithful Recovery of Vector Valued Functions from Incomplete Data.

Massimo Fornasier

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006

Nonlinear Projection Recovery in Digital Inpainting for Color Image Restoration.

Massimo Fornasier

J. Math. Imaging Vis., 2006

2005

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

Massimo Fornasier, Domenico Toniolo

Pattern Recognit., 2005

Fast homogenization algorithm based on asymptotic theory and multiscale schemes.

Maria Morandi Cecchi, Massimo Fornasier

Numer. Algorithms, 2005