3 papers
math.OC2026
Convergence Analysis of Distributed Optimization: A Dissipativity Framework
Aron Karakai, Jaap Eising, Andrea Martinelli +1
We develop a system-theoretic framework for the structured analysis of distributed optimization algorithms with decomposable cost functions. We model such algorithms as a network o…
cs.CC2026
Complexity Thresholds for the Constrained Colored Token Swapping Problem
Davide Bilò, Stefano Leucci, Andrea Martinelli
Consider the following puzzle: a farmland consists of several fields, each occupied by either a farmer, a fox, a chicken, or a caterpillar. Creatures in neighboring fields can swap…
stat.ML2025
Certifying Robustness via Topological Representations
Jens Agerberg, Andrea Guidolin, Andrea Martinelli +3
We propose a neural network architecture that can learn discriminative geometric representations of data from persistence diagrams, common descriptors of Topological Data Analysis.…