1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Graph data augmentation with Gromow-Wasserstein Barycenters
Andrea Ponti
Graphs are ubiquitous in various fields, and deep learning methods have been successful applied in graph classification tasks. However, building large and diverse graph datasets fo…
math.OC2021★ 1 cited
Gamifying optimization: a Wasserstein distance-based analysis of human search
Antonio Candelieri, Andrea Ponti, Francesco Archetti
The main objective of this paper is to outline a theoretical framework to characterise humans' decision-making strategies under uncertainty, in particular active learning in a blac…
cs.LG2021
Multi-Task Learning on Networks
Andrea Ponti
The multi-task learning (MTL) paradigm can be traced back to an early paper of Caruana (1997) in which it was argued that data from multiple tasks can be used with the aim to obtai…