activity
20102024
most citedDeep Big Simple Neural Nets Excel on Handwritten Digit Recognition

1.1k citations · 2.1k across the 22 of their papers we have counts for

collaborators

22 papers

math.OC2024

Lower bounds for the integrality gap of the bi-directed cut formulation of the Steiner Tree Problem

Ambrogio Maria Bernardelli, Eleonora Vercesi, Stefano Gualandi +2

In this work, we study the metric Steiner Tree problem on graphs focusing on computing lower bounds for the integrality gap of the bi-directed cut (BCR) formulation and introducing…

math.OC2023★ 11 cited

An Ant Colony System for the Team Orienteering Problem with Time Windows

Roberto Montemanni, Luca Maria Gambardella

This paper discusses a heuristic approach for Team Orienteering Problems with Time Windows. The method we propose takes advantage of a solution model based on a hierarchic generali…

cs.CV2022

Challenges in Visual Anomaly Detection for Mobile Robots

Dario Mantegazza, Alessandro Giusti, Luca M. Gambardella +2

We consider the task of detecting anomalies for autonomous mobile robots based on vision. We categorize relevant types of visual anomalies and discuss how they can be detected by u…

cs.CV2022★ 15 cited

An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots

Dario Mantegazza, Alessandro Giusti, Luca Maria Gambardella +1

We consider the problem of building visual anomaly detection systems for mobile robots. Standard anomaly detection models are trained using large datasets composed only of non-anom…

cs.CV2021

Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization

Marco Ferri, Dario Mantegazza, Elia Cereda +5

We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synth…

cs.RO2021★ 6 cited

Sensing Anomalies as Potential Hazards: Datasets and Benchmarks

Dario Mantegazza, Carlos Redondo, Fran Espada +3

We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous) with respect to the robo…