Francesco Rinaldi

University of Padua — Italy

Mathematics · Physical Sciences

20h-index1.4kcitations139works2.22yr avg
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Research Topics

Advanced Optimization Algorithms Research(69), Sparse and Compressive Sensing Techniques(29), Optimization and Variational Analysis(20), Advanced Multi-Objective Optimization Algorithms(16), Vehicle Routing Optimization Methods(10)

Publications139 total

An efficient network-aware direct search method for influence maximization
Journal of Complex Networks·2025Open Access
Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
arXiv (Cornell University)·2025Open Access
Sequential test sampling for stochastic derivative-free optimization
arXiv (Cornell University)·2025Open Access
Probabilistic iterative hard thresholding for sparse learning
Computational Optimization and Applications·2025Open Access
An Efficient Network-aware Direct Search Method for Influence Maximization
arXiv (Cornell University)·2025Open Access
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
arXiv (Cornell University)·2025Open Access
Direct-search methods in the year 2025: Theoretical guarantees and algorithmic paradigms
EURO Journal on Computational Optimization·2025Open Access
Frank–Wolfe and friends: a journey into projection-free first-order optimization methods
Annals of Operations Research·2024· 1 citedOpen Access
What we should learn from pandemic publishing
Nature Human Behaviour·2024· 2 citedOpen Access
Probabilistic Iterative Hard Thresholding for Sparse Learning
arXiv (Cornell University)·2024Open Access
Stochastic Trust-Region and Direct-Search Methods: A Weak Tail Bound Condition and Reduced Sample Sizing
SIAM Journal on Optimization·2024· 4 cited
Projection free methods on product domains
Computational Optimization and Applications·2024· 3 citedOpen Access
Inexact direct-search methods for bilevel optimization problems
Computational Optimization and Applications·2024· 2 citedOpen Access
Direct-search methods in the year 2025: Theoretical guarantees and algorithmic paradigms
arXiv (Cornell University)·2024Open Access
A machine learning approach for early identification of patients with severe imported malaria
Malaria Journal·2024· 9 citedOpen Access
Collaboration and topic switches in science
Scientific Reports·2024· 14 citedOpen Access
A Unifying Framework for Sparsity-Constrained Optimization
Journal of Optimization Theory and Applications·2023· 4 citedOpen Access
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
arXiv (Cornell University)·2023Open Access
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
arXiv (Cornell University)·2023Open Access
Retraction-Based Direct Search Methods for Derivative Free Riemannian Optimization
Journal of Optimization Theory and Applications·2023· 2 citedOpen Access
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Frequent Co-authors

Stefano Lucidi(23), Giampaolo Liuzzi(14), Marianna De Santis(6), Damiano Zeffiro(5), Marco Sciandrone(4), Matteo Diez(4), Andrea Serani(4), Gianni Di Pillo(3), Riccardo Pellegrini(3), Immanuel M. Bomze(3), Christoph Buchheim(3), Long Trieu(3), Andrea Cristofari(3), Marco Villani(2), Fabio Schoen(2), Emilio F. Campana(2), Veronica Piccialli(2), Massimo Maurici(2), Luca Paulon(2), Massimo Roma(2)