3 papers
cs.LG2026
Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing
Francesca Lanzillotta, Chiara Albisani, Davide Pucci +3
In many learning tasks, certain requirements on the processing of individual data samples should arguably be formalized as strict constraints in the underlying optimization problem…
math.OC2025
On the Computation of the Efficient Frontier in Advanced Sparse Portfolio Optimization
Arturo Annunziata, Matteo Lapucci, Pieluigi Mansueto +1
In this work, we deal with the problem of computing a comprehensive front of efficient solutions in multi-objective portfolio optimization problems in presence of sparsity constrai…
cs.RO2024
Optimization-Driven Design of Monolithic Soft-Rigid Grippers
Pierluigi Mansueto, Mihai Dragusanu, Anjum Saeed +3
Sim-to-real transfer remains a significant challenge in soft robotics due to the unpredictability introduced by common manufacturing processes such as 3D printing and molding. Thes…