Massimo Fornasier

61 papers B 1Misc 1Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consensus-based optimization (CBO): Towards Global Optimality in Robotics. CoRR Xudong Sun, Armand Jordana, Massimo Fornasier, Jalal Etesami, Majid Khadiv
2026	J	`jnl`	From Consensus-Based Optimization to Evolution Strategies: Proof of Global Convergence. CoRR Massimo Fornasier, Hui Huang, Jona Klemenc, Greta Malaspina
2026	J	`jnl`	Trade-off Invariance Principle for Minimizers of Regularized Functionals. J. Optim. Theory Appl. Massimo Fornasier, Jona Klemenc, Alessandro Scagliotti
2024	J	`jnl`	Consensus-Based Optimization Methods Converge Globally. SIAM J. Optim. Massimo Fornasier, Timo Klock, Konstantin Riedl
2024	J	`jnl`	Solving partial differential equations with sampled neural networks. CoRR Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich
2023	J	`jnl`	Approximation Theory, Computing, and Deep Learning on the Wasserstein Space. CoRR Massimo Fornasier, Pascal Heid, Giacomo Enrico Sodini
2023	J	`jnl`	From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks. CoRR Cristina Cipriani, Massimo Fornasier, Alessandro Scagliotti
2023	J	`jnl`	Gradient is All You Need? CoRR Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier
2022	J	`jnl`	Anisotropic Diffusion in Consensus-Based Optimization on the Sphere. SIAM J. Optim. Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
2022	B	`conf`	Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. EvoApplications Massimo Fornasier, Timo Klock, Konstantin Riedl
2022	J	`jnl`	Finite Sample Identification of Wide Shallow Neural Networks with Biases. CoRR Massimo Fornasier, Timo Klock, Marco Mondelli, Michael Rauchensteiner
2021	J	`jnl`	Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning. J. Mach. Learn. Res. Massimo Fornasier, Lorenzo Pareschi, Hui Huang, Philippe Sünnen
2021	J	`jnl`	Consensus-based optimization methods converge globally in mean-field law. CoRR Massimo Fornasier, Timo Klock, Konstantin Riedl
2021	J	`jnl`	Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. CoRR Massimo Fornasier, Timo Klock, Konstantin Riedl
2021	J	`jnl`	Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements. Appl. Math. Comput. Massimo Fornasier, Johannes Maly, Valeriya Naumova
2021	J	`jnl`	Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples. CoRR Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner
2020	J	`jnl`	A Relaxed Kačanov iteration for the Numerische Mathematik Lars Diening, Massimo Fornasier, Roland Tomasi, Maximilian Wank
2020	J	`jnl`	Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit. CoRR Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
2020	J	`jnl`	Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning. CoRR Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
2019	J	`jnl`	Data-driven Evolutions of Critical Points. CoRR Stefano Almi, Massimo Fornasier, Richard Huber
2019	J	`jnl`	Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks. CoRR Massimo Fornasier, Timo Klock, Michael Rauchensteiner
2018	J	`jnl`	Identification of Shallow Neural Networks by Fewest Samples. CoRR Massimo Fornasier, Jan Vybíral, Ingrid Daubechies
2017	J	`jnl`	Mean-Field Pontryagin Maximum Principle. J. Optim. Theory Appl. Mattia Bongini, Massimo Fornasier, Francesco Rossi, Francesco Solombrino
2016	J	`jnl`	Conjugate gradient acceleration of iteratively re-weighted least squares methods. Comput. Optim. Appl. Massimo Fornasier, Steffen Peter, Holger Rauhut, Stephan Worm
2015	J	`jnl`	Anisotropic Mesh Adaptation for Crack Detection In Brittle Materials. SIAM J. Sci. Comput. Marco Artina, Massimo Fornasier, Stefano Micheletti, Simona Perotto
2015	—	`ch.`	Compressive Sensing. Handbook of Mathematical Methods in Imaging Massimo Fornasier, Holger Rauhut
2015	J	`jnl`	Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing. IEEE Trans. Signal Process. Steffen Peter, Marco Artina, Massimo Fornasier
2015	J	`jnl`	Sparse control of alignment models in high dimension. Networks Heterog. Media Mattia Bongini, Massimo Fornasier, Oliver Junge, Benjamin Scharf
2014	J	`jnl`	Asymptotic Behavior of Gradient Flows Driven by Nonlocal Power Repulsion and Attraction Potentials in One Dimension. SIAM J. Math. Anal. Marco Di Francesco, Massimo Fornasier, Jan-Christian Hütter, Daniel Matthes
2014	—	`conf`	Mean-field optimal control by leaders. CDC Massimo Fornasier, Benedetto Piccoli, Nastassia Pouradier Duteil, Francesco Rossi
2014	J	`jnl`	Parameter Choice Strategies for Multipenalty Regularization. SIAM J. Numer. Anal. Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev
2014	J	`jnl`	Quasi-linear Compressed Sensing. Multiscale Model. Simul. Martin Ehler, Massimo Fornasier, Juliane Sigl
2014	—	`conf`	Sparse control of force field dynamics. NetGCooP Mattia Bongini, Massimo Fornasier, Fabian Frcohlich, Laleh Haghverdi
2014	J	`jnl`	Sparse stabilization of dynamical systems driven by attraction and avoidance forces. Networks Heterog. Media Mattia Bongini, Massimo Fornasier
2013	—	`conf`	Anisotropic Adaptive Meshes for Brittle Fractures: Parameter Sensitivity. ENUMATH Marco Artina, Massimo Fornasier, Stefano Micheletti, Simona Perotto
2013	J	`jnl`	Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing. CoRR Marco Artina, Massimo Fornasier, Steffen Peter
2013	J	`jnl`	Linearly Constrained Nonsmooth and Nonconvex Minimization. SIAM J. Optim. Marco Artina, Massimo Fornasier, Francesco Solombrino
2013	J	`jnl`	Quasi-Linear Compressed Sensing. CoRR Martin Ehler, Massimo Fornasier, Juliane Sigl
2012	J	`jnl`	Learning Functions of Few Arbitrary Linear Parameters in High Dimensions. Found. Comput. Math. Massimo Fornasier, Karin Schnass, Jan Vybíral
2012	J	`jnl`	Multilevel preconditioning and adaptive sparse solution of inverse problems. Math. Comput. Stephan Dahlke, Massimo Fornasier, Thorsten Raasch
2012	J	`jnl`	Wavelet Decomposition Method for L SIAM J. Imaging Sci. Massimo Fornasier, Yunho Kim, Andreas Langer, Carola-Bibiane Schönlieb
2011	J	`jnl`	Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization. SIAM J. Optim. Massimo Fornasier, Holger Rauhut, Rachel A. Ward
2011	J	`jnl`	Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension. Multiscale Model. Simul. Massimo Fornasier, Jan Haskovec, Jan Vybíral
2010	J	`jnl`	A convergent overlapping domain decomposition method for total variation minimization. Numerische Mathematik Massimo Fornasier, Andreas Langer, Carola-Bibiane Schönlieb
2010	J	`jnl`	Asymptotic Flocking Dynamics for the Kinetic Cucker-Smale Model. SIAM J. Math. Anal. José A. Carrillo, Massimo Fornasier, Jesús Rosado, Giuseppe Toscani
2010	J	`jnl`	Iterative Thresholding Meets Free-Discontinuity Problems. Found. Comput. Math. Massimo Fornasier, Rachel A. Ward
2010	J	`jnl`	Learning Functions of Few Arbitrary Linear Parameters in High Dimensions CoRR Massimo Fornasier, Karin Schnass, Jan Vybíral
2010	J	`jnl`	Optimal adaptive computations in the Jaffard algebra and localized frames. J. Approx. Theory Stephan Dahlke, Massimo Fornasier, Karlheinz Gröchenig
2010	—	`book`	Theoretical Foundations and Numerical Methods for Sparse Recovery. Massimo Fornasier
2009	—	`conf`	Compressive Algorithms-Adaptive Solutions of PDEs and Variational Problems. IMA Conference on the Mathematics of Surfaces Massimo Fornasier
2009	J	`jnl`	Subspace Correction Methods for Total Variation and SIAM J. Numer. Anal. Massimo Fornasier, Carola-Bibiane Schönlieb
2009	J	`jnl`	The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem. Adv. Comput. Math. Massimo Fornasier, Ronny Ramlau, Gerd Teschke
2008	J	`jnl`	Adaptive frame methods for nonlinear variational problems. Numerische Mathematik Maria Charina, Costanza Conti, Massimo Fornasier
2008	Misc	`conf`	Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery. CISS Ingrid Daubechies, Ronald A. DeVore, Massimo Fornasier, C. Sinan Güntürk
2008	J	`jnl`	Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints. SIAM J. Numer. Anal. Massimo Fornasier, Holger Rauhut
2007	J	`jnl`	Adaptive frame methods for elliptic operator equations. Adv. Comput. Math. Stephan Dahlke, Massimo Fornasier, Thorsten Raasch
2007	—	`conf`	Faithful Recovery of Vector Valued Functions from Incomplete Data. SSVM Massimo Fornasier
2007	J	`jnl`	Restoration of Color Images by Vector Valued BV Functions and Variational Calculus. SIAM J. Appl. Math. Massimo Fornasier, Riccardo March
2006	J	`jnl`	Nonlinear Projection Recovery in Digital Inpainting for Color Image Restoration. J. Math. Imaging Vis. Massimo Fornasier
2005	J	`jnl`	Fast homogenization algorithm based on asymptotic theory and multiscale schemes. Numer. Algorithms Maria Morandi Cecchi, Massimo Fornasier
2005	J	`jnl`	Fast, robust and efficient 2D pattern recognition for re-assembling fragmented images. Pattern Recognit. Massimo Fornasier, Domenico Toniolo