Alessandro Manenti

Lugano, Switzerland

Hi! I'm Alessandro, I am a Ph.D. student in Graph Deep Learning.
I'm part of the Graph Machine Learning Group which is a research team of the Swiss AI Lab IDSIA, under the supervision of Professor Cesare Alippi.

I develop methods that learn latent relational structures to empower deep learning models — and I love exploring any model that uses latent-space representations, with a particular focus on discrete latent spaces.

Publications

Learning Latent Graph Structures and their Uncertainty
ICML 2025

In this paper, we highlight a challenge in Graph Neural Networks (GNNs), demonstrating that traditional methods struggle to learn hidden relational structures and their uncertainties. We propose a new approach that jointly learns these latent graph structures while enhancing prediction accuracy, and we provide empirical evidence to support the developed theoretical results.

Education

Ph.D. student

The Swiss AI Lab IDSIA - USI, Faculty of Informatics
Ph.D. in Graph Deep Learning. I'm currently focusing on graph learning and spatiotemporal data processing using graph latent spaces.

December 2022 - Present

Phisics of Complex Systems - Master's Double Degree

Poilitecnico di Torino - SISSA - Sorbonne Université
Physics of Complex Systems is a branch of physics that explores the emergent behaviors and phenomena that arise from the interactions of numerous agents.

Thesis title: "Deep Learning techniques for Natural Language Processing: A multilingual Encoder model for NLI task"

September 2020 - July 2022

Phisics - Bachelor's Degree

Università di Trento

September 2017 - July 2020

Reviewing activity



International Conference on Machine Learning (ICML)
2025
IEEE Transactions on Neural Networks and Learning Systems
2024
International Conference on Learning Representations (ICLR)
2024
International Conference on Artificial Neural Networks (ICANN)
2024

Teaching

Contributed to course delivery through preparation of lab sessions, development of assignments and exams, and assessment of student performance.



Graph Deep Learning - 6 ECTS
Spring Semester 2025
Advanced Topics in Machine Learning - 6 ECTS
Autumn Semester 2024-2025
Machine Learning - 6 ECTS
Spring Semester 2024
Advanced Topics in Machine Learning - 6 ECTS
Autumn Semester 2023-2024
Machine Learning - 6 ECTS
Spring Semester 2023

Lectures

Graph Structure Learning — Lecture

Lecture for USI — Master Program in Artificial Intelligence (Graph Deep Learning course).