Massimo Fornasier

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 20

Top Topics

Weighted Least Squares

Optimization Method

Partial Differential Equations

Top Venues

Networks Heterog. Media

J. Optim. Theory Appl.

Publications

Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich
Solving partial differential equations with sampled neural networks. CoRR (2024)
Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier
Gradient is All You Need? CoRR (2023)
Cristina Cipriani, Massimo Fornasier, Alessandro Scagliotti
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks. CoRR (2023)
Massimo Fornasier, Pascal Heid, Giacomo Enrico Sodini
Approximation Theory, Computing, and Deep Learning on the Wasserstein Space. CoRR (2023)
Massimo Fornasier, Timo Klock, Marco Mondelli, Michael Rauchensteiner
Finite Sample Identification of Wide Shallow Neural Networks with Biases. CoRR (2022)
Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
Anisotropic Diffusion in Consensus-Based Optimization on the Sphere. SIAM J. Optim. 32 (3) (2022)
Massimo Fornasier, Timo Klock, Konstantin Riedl
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. EvoApplications (2022)
Massimo Fornasier, Timo Klock, Konstantin Riedl
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. CoRR (2021)
Massimo Fornasier, Timo Klock, Konstantin Riedl
Consensus-based optimization methods converge globally in mean-field law. CoRR (2021)
Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples. CoRR (2021)
Massimo Fornasier, Lorenzo Pareschi, Hui Huang, Philippe Sünnen
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning. J. Mach. Learn. Res. 22 (2021)
Massimo Fornasier, Johannes Maly, Valeriya Naumova
Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements. Appl. Math. Comput. 392 (2021)
Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning. CoRR (2020)
Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit. CoRR (2020)
Lars Diening, Massimo Fornasier, Roland Tomasi, Maximilian Wank
-poisson problem. Numerische Mathematik 145 (1) (2020)
Stefano Almi, Massimo Fornasier, Richard Huber
Data-driven Evolutions of Critical Points. CoRR (2019)
Massimo Fornasier, Timo Klock, Michael Rauchensteiner
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks. CoRR (2019)
Massimo Fornasier, Jan Vybíral, Ingrid Daubechies
Identification of Shallow Neural Networks by Fewest Samples. CoRR (2018)
Mattia Bongini, Massimo Fornasier, Francesco Rossi, Francesco Solombrino
Mean-Field Pontryagin Maximum Principle. J. Optim. Theory Appl. 175 (1) (2017)
Massimo Fornasier, Steffen Peter, Holger Rauhut, Stephan Worm
Conjugate gradient acceleration of iteratively re-weighted least squares methods. Comput. Optim. Appl. 65 (1) (2016)
Marco Artina, Massimo Fornasier, Stefano Micheletti, Simona Perotto
Anisotropic Mesh Adaptation for Crack Detection In Brittle Materials. SIAM J. Sci. Comput. 37 (4) (2015)
Mattia Bongini, Massimo Fornasier, Oliver Junge, Benjamin Scharf
Sparse control of alignment models in high dimension. Networks Heterog. Media 10 (3) (2015)
Steffen Peter, Marco Artina, Massimo Fornasier
Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing. IEEE Trans. Signal Process. 63 (22) (2015)
Mattia Bongini, Massimo Fornasier, Fabian Frcohlich, Laleh Haghverdi
Sparse control of force field dynamics. NetGCooP (2014)
Martin Ehler, Massimo Fornasier, Juliane Sigl
Quasi-linear Compressed Sensing. Multiscale Model. Simul. 12 (2) (2014)
Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev
Parameter Choice Strategies for Multipenalty Regularization. SIAM J. Numer. Anal. 52 (4) (2014)
Massimo Fornasier, Benedetto Piccoli, Nastassia Pouradier Duteil, Francesco Rossi
Mean-field optimal control by leaders. CDC (2014)
Mattia Bongini, Massimo Fornasier
Sparse stabilization of dynamical systems driven by attraction and avoidance forces. Networks Heterog. Media 9 (1) (2014)
Marco Di Francesco, Massimo Fornasier, Jan-Christian Hütter, Daniel Matthes
Asymptotic Behavior of Gradient Flows Driven by Nonlocal Power Repulsion and Attraction Potentials in One Dimension. SIAM J. Math. Anal. 46 (6) (2014)
Marco Artina, Massimo Fornasier, Steffen Peter
Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing. CoRR (2013)
Marco Artina, Massimo Fornasier, Stefano Micheletti, Simona Perotto
Anisotropic Adaptive Meshes for Brittle Fractures: Parameter Sensitivity. ENUMATH (2013)
Martin Ehler, Massimo Fornasier, Juliane Sigl
Quasi-Linear Compressed Sensing. CoRR (2013)
Marco Artina, Massimo Fornasier, Francesco Solombrino
Linearly Constrained Nonsmooth and Nonconvex Minimization. SIAM J. Optim. 23 (3) (2013)
Stephan Dahlke, Massimo Fornasier, Thorsten Raasch
Multilevel preconditioning and adaptive sparse solution of inverse problems. Math. Comput. 81 (277) (2012)
Massimo Fornasier, Karin Schnass, Jan Vybíral
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions. Found. Comput. Math. 12 (2) (2012)
Massimo Fornasier, Yunho Kim, Andreas Langer, Carola-Bibiane Schönlieb
/TV-Image Deblurring. SIAM J. Imaging Sci. 5 (3) (2012)
Massimo Fornasier, Jan Haskovec, Jan Vybíral
Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension. Multiscale Model. Simul. 9 (4) (2011)
Massimo Fornasier, Holger Rauhut, Rachel Ward
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization. SIAM J. Optim. 21 (4) (2011)
Stephan Dahlke, Massimo Fornasier, Karlheinz Gröchenig
Optimal adaptive computations in the Jaffard algebra and localized frames. J. Approx. Theory 162 (1) (2010)
Massimo Fornasier, Karin Schnass, Jan Vybíral
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions CoRR (2010)
Massimo Fornasier, Andreas Langer, Carola-Bibiane Schönlieb
A convergent overlapping domain decomposition method for total variation minimization. Numerische Mathematik 116 (4) (2010)
Massimo Fornasier, Rachel Ward
Iterative Thresholding Meets Free-Discontinuity Problems. Found. Comput. Math. 10 (5) (2010)
Massimo Fornasier, Ronny Ramlau, Gerd Teschke
The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem. Adv. Comput. Math. 31 (1-3) (2009)
Massimo Fornasier, Carola-Bibiane Schönlieb
-Minimization. SIAM J. Numer. Anal. 47 (5) (2009)
Massimo Fornasier
Compressive Algorithms-Adaptive Solutions of PDEs and Variational Problems. IMA Conference on the Mathematics of Surfaces (2009)
Ingrid Daubechies, Ronald A. DeVore, Massimo Fornasier, C. Sinan Güntürk
Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery. CISS (2008)
Maria Charina, Costanza Conti, Massimo Fornasier
Adaptive frame methods for nonlinear variational problems. Numerische Mathematik 109 (1) (2008)
Massimo Fornasier, Holger Rauhut
Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints. SIAM J. Numer. Anal. 46 (2) (2008)
Massimo Fornasier
Faithful Recovery of Vector Valued Functions from Incomplete Data. SSVM (2007)
Stephan Dahlke, Massimo Fornasier, Thorsten Raasch
Adaptive frame methods for elliptic operator equations. Adv. Comput. Math. 27 (1) (2007)
Massimo Fornasier, Riccardo March
Restoration of Color Images by Vector Valued BV Functions and Variational Calculus. SIAM J. Appl. Math. 68 (2) (2007)
Massimo Fornasier
Nonlinear Projection Recovery in Digital Inpainting for Color Image Restoration. J. Math. Imaging Vis. 24 (3) (2006)
Maria Morandi Cecchi, Massimo Fornasier
Fast homogenization algorithm based on asymptotic theory and multiscale schemes. Numer. Algorithms 40 (2) (2005)
Massimo Fornasier, Domenico Toniolo
Fast, robust and efficient 2D pattern recognition for re-assembling fragmented images. Pattern Recognit. 38 (11) (2005)