Alessandro Lonardi

Assistant AI Researcher
Sony AI
Avda. del Portal de l'Àngel, 40, Ciutat Vella, 08002 Bacelona, Spain

One-page CV (for industry)
Long CV (for academia, with a full publication list, academic services, and extra resources for talks)
Email • GitHub / GitHub • LinkedIn • ORCID • arXiv • Google Scholar • Web of Science

I am Alessandro Lonardi, an Assistant AI Researcher at Sony AI in Barcelona, Spain. Before that, I was a PhD student at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. I did my PhD under the supervision of Caterina De Bacco in the Physics for Inference and Optimization group. My PhD was supported by the International Max Planck Research School for Intelligent Systems (IMPRS-IS), which is part of the Cyber Valley initiative. I obtained my Master’s degree in Mathematical Engineering at the University of Padova in Padua, Italy. There, I also got my Bachelor’s degree in Physics.

Research

My research focuses on probabilistic generative models and optimization techniques in machine learning for graphs. Currently, I am exploring the intersection of knowledge graphs and explainable AI (XAI). With a background in both physics and computer science, I like developing mathematical models inspired by statistical physics and implementing them in robust, scalable algorithms. I enjoy technical work and am particularly interested in applications within social and urban sciences.

News

• Jul 1, 2024: I am joining Sony AI in Barcelona 🇪🇸.
• May 1, 2024: A new preprint Cohesive urban bicycle infrastructure design through optimal transport routing in multilayer networks is on the arXiv.
• Apr 26, 2024: I defended my PhD thesis!
• Apr 24, 2024: Our paper Message-Passing on Hypergraphs: Detectability, Phase Transitions, and Higher-Order Information is in Journal of Statistical Mechanics: Theory and Experiment. Here a tl;dr summary of the paper.
• Apr 6, 2024: I gave the talk Bilevel optimization for traffic mitigation in optimal transport networks, at the Research Seminar on Mathematical Optimization of the Mathematical Optimization for Data Science Group at Saarbrücken University, Germany.
• Dec 26, 2023: Our paper Bilevel Optimization for Traffic Mitigation in Optimal Transport Networks is in Physical Review Letters!

Toggle older news

• Dec 1, 2023: A new preprint is in online: Message-Passing on Hypergraphs: Detectability, Phase Transitions, and Higher-Order Information. As a symbolic compensation for the emissions generated by our numerical experiments, Nick and I planted a Hyper Mango 🥭.
• Oct 9, 2023: I do not use Twitter anymore. My social media profile is now @alonardi on LinkedIn.
• Jun 28, 2023: A new preprint is online: Bilevel Optimization for Traffic Mitigation in Optimal Transport Networks.
• Jul, 2023: Two talks at Netsci 2023: Infrastructure adaptation and emergence of loops in network routing with time-dependent loads and Bilevel optimization for flow control in optimal transport networks.
• Mar 9, 2023: I gave a talk for the NetPLACE Seminars series.
• Feb 3, 2023: Our work Infrastructure adaptation and emergence of loops in network routing with time-dependent loads is in Physical Review E!
• Jan 20, 2023: Our work Immiscible Color Flows in Optimal Transport Networks for Image Classification is in Frontiers in Physics! As a symbolic compensation for the emissions generated by our numerical experiments, Diego and I planted a cocoa tree 🌿.
• May 6, 2022: Our work Multicommodity routing optimization for engineering networks is in Scientific Reports!
• May 4, 2022: A new preprint is online: Immiscible Color Flows in Optimal Transport Networks for Image Classification.
• Dec 21, 2021: A new preprint is online: Infrastructure adaptation and emergence of loops in network routing with time-dependent loads.
• Oct 13, 2021 - Feb 11, 2022: I am a teaching assistant for the course of Advanced Probabilistic Machine Learning and Applications (2022), at University of Tübingen.
• Oct 4, 2021: Our work Designing optimal networks for multicommodity transport problem is in Physical Review Research!
• Jul 14, 2021: Our work Optimal Transport in Multilayer Networks for Traffic Flow Optimization has just been published.
• Apr 19, 2021 - July 31, 2021: I was a teaching assistant for the course of Advanced Probabilistic Machine Learning and Applications (2021), at University of Tübingen.
• Feb 12, 2021: I joined the International Max Planck Research School for Intelligent Systems!

Publications

In reverse chronological order, asterisks denote equal contribution.

The last publication I contributed to is:

• Cohesive urban bicycle infrastructure design through optimal transport routing in multilayer networks
  Alessandro Lonardi, Michael Szell, Caterina De Bacco
  arXiv • GitHub

Toggle all publications

• Designing Networks with Adaptation Rules and Optimal Transport (PhD thesis)
  Alessandro Lonardi
  University of Tübingen (2024)

• Message-Passing on Hypergraphs: Detectability, Phase Transitions, and Higher-Order Information
  Nicolò Ruggeri*, Alessandro Lonardi*, Caterina De Bacco
  Journal of Statistical Mechanics: Theory and Experiment (4), 043403 (2024) • arXiv • GitHub • CO₂ compensation

• Bilevel Optimization for Traffic Mitigation in Optimal Transport Networks
  Alessandro Lonardi, Caterina De Bacco
  Physical Review Letters 131, 267401 (2023) • arXiv • GitHub

• Immiscible Color Flows in Optimal Transport Networks for Image Classification
  Alessandro Lonardi*, Diego Baptista*, Caterina De Bacco
  Frontiers in Physics 11:1089114 (2023) • arXiv • GitHub • Poster • CO₂ compensation

• Infrastructure adaptation and emergence of loops in network routing with time-dependent loads
  Alessandro Lonardi, Enrico Facca, Mario Putti, Caterina De Bacco
  Physical Review E 107, 024302 (2023) • arXiv • GitHub

• Multicommodity routing optimization for engineering networks
  Alessandro Lonardi, Mario Putti, Caterina De Bacco
  Scientific Reports 12, 7474 (2022) • arXiv • GitHub

• Optimal Transport in Multilayer Networks for Traffic Flow Optimization
  Abdullahi Adinoyi Ibrahim, Alessandro Lonardi, Caterina De Bacco
  Algorithms, 14(7), 189 (2021) • arXiv • GitHub

• Designing optimal networks for multicommodity transport problem
  Alessandro Lonardi, Enrico Facca, Mario Putti, Caterina De Bacco
  Physical Review Research 3, 043010 (2021) • arXiv • GitHub

Last updated in May 2024.