74 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Aldo Glielmo3 profiles9 · h 5
- A. Laio5 · h 55
- Luigi Bellomarini2 profiles5 · h 14
- Emanuel Sallinger3 · h 15
- Iuri Macocco3 · h 5
- Luca Guarnera3 · h 15
- Marco Favorito2 profiles3 · h 12
- Oliver Giudice3 · h 15
- S. Battiato3 · h 43
- Alex Rodriguez2 profiles2 · h 18
- A. Mercatanti2 · h 10
- Andrea Coletta2 profiles2 · h 2
- Scuola Internazionale Superiore di Studi AvanzatiIT5 papers
- Sapienza University of RomeIT4 papers
- The Abdus Salam International Centre for Theoretical Physics (ICTP)IT3 papers
- TU WienAT3 papers
- University of CataniaIT3 papers
- University of OxfordGB3 papers
- Duke UniversityUS2 papers
- ETH ZurichCH2 papers
- Roma Tre UniversityIT2 papers
- Università Cattolica del Sacro CuoreIT2 papers
- University of Milano-BicoccaIT2 papers
- University of TriesteIT2 papers
33 papers
Italian Business-to-Business Invoicing Data: A Network Analysis
Valerio Astuti, Daniele Piras
We present a comprehensive description of the network of Italian Business-to-Business commercial relationships, based on the universe of electronic invoices collected by the Italia…
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández +3
General-purpose LLMs pose misinformation risks for development and policy experts, lacking epistemic humility for verifiable outputs. We present AVA (AI + Verified Analysis), a Gen…
Natural-gas storage modelling by deep reinforcement learning
Tiziano Balaconi, Aldo Glielmo, Marco Taboga
We introduce GasRL, a simulator that couples a calibrated representation of the natural gas market with a model of storage-operator policies trained with deep reinforcement learnin…
Heterogeneous RBCs via Deep Multi-Agent Reinforcement Learning
Federico Gabriele, Aldo Glielmo, Marco Taboga
Current macroeconomic models with agent heterogeneity can be broadly divided into two main groups. Heterogeneous-agent general equilibrium (GE) models, such as those based on Heter…
ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation
Riccardo Pozzi, Matteo Palmonari, Andrea Coletta +3
Knowledge gaps and hallucinations are persistent challenges for Large Language Models (LLMs), which generate unreliable responses when lacking the necessary information to fulfill…
A Hitchhiker's Guide to Privacy-Preserving Digital Payment Systems: A Survey on Anonymity, Confidentiality, and Auditability
Matteo Nardelli, Francesco De Sclavis, Michela Iezzi
Crypto-assets and central bank digital currencies (CBDCs) are reshaping how value is exchanged in distributed computing environments. These systems combine cryptographic primitives…
The Temporal Vadalog System: Temporal Datalog-based Reasoning
Luigi Bellomarini, Livia Blasi, Markus Nissl +1
In the wake of the recent resurgence of the Datalog language of databases, together with its extensions for ontological reasoning settings, this work aims to bridge the gap between…
Density Estimation via Binless Multidimensional Integration
Matteo Carli, Alex Rodriguez, Alessandro Laio +1
We introduce the Binless Multidimensional Thermodynamic Integration (BMTI) method for nonparametric, robust, and data-efficient density estimation. BMTI estimates the logarithm of…
Scale adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
Antonio Di Noia, Iuri Macocco, Aldo Glielmo +2
The Intrinsic Dimension (ID) is a key concept in unsupervised learning and feature selection, as it is a lower bound to the number of variables which are necessary to describe a sy…
Simulating the Economic Impact of Rationality through Reinforcement Learning and Agent-Based Modelling
Simone Brusatin, Tommaso Padoan, Andrea Coletta +2
Agent-based models (ABMs) are simulation models used in economics to overcome some of the limitations of traditional frameworks based on general equilibrium assumptions. However, a…
Self-Balancing Semi-Hierarchical PCNs for CBDCs
Marco Benedetti, Francesco De Sclavis, Marco Favorito +4
We introduce a family of PCNs (Payment Channel Networks) characterized by a semi-hierarchical topology and a custom set of channel rebalancing strategies. This family exhibits two…
Fast and Stable Credit Gamma of CVA
Roberto Daluiso
Credit Valuation Adjustment is a balance sheet item which is nowadays subject to active risk management by specialized traders. However, one of the most important risk factors, whi…
PG-Triggers: Triggers for Property Graphs
Stefano Ceri, Anna Bernasconi, Alessia Gagliardi +3
Graph databases are emerging as the leading data management technology for storing large knowledge graphs; significant efforts are ongoing to produce new standards (such as the Gra…
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models
Luca Guarnera, Oliver Giudice, Sebastiano Battiato
The image deepfake detection task has been greatly addressed by the scientific community to discriminate real images from those generated by Artificial Intelligence (AI) models: a…
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping
Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito +2
One major limitation to the applicability of Reinforcement Learning (RL) to many practical domains is the large number of samples required to learn an optimal policy. To address th…
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
Aldo Glielmo, Marco Favorito, Debmallya Chanda +1
Calibrating agent-based models (ABMs) in economics and finance typically involves a derivative-free search in a very large parameter space. In this work, we benchmark a number of s…
Intrinsic dimension estimation for discrete metrics
Iuri Macocco, Aldo Glielmo, Jacopo Grilli +1
Real world-datasets characterized by discrete features are ubiquitous: from categorical surveys to clinical questionnaires, from unweighted networks to DNA sequences. Nevertheless,…
DADApy: Distance-based Analysis of DAta-manifolds in Python
Aldo Glielmo, Iuri Macocco, Diego Doimo +6
DADApy is a python software package for analysing and characterising high-dimensional data manifolds. It provides methods for estimating the intrinsic dimension and the probability…
On the Exploitation of Deepfake Model Recognition
Luca Guarnera, Oliver Giudice, Matthias Niessner +1
Despite recent advances in Generative Adversarial Networks (GANs), with special focus to the Deepfake phenomenon there is no a clear understanding neither in terms of explainabilit…
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images
Luca Guarnera, Oliver Giudice, Sebastiano Battiato
Most recent style-transfer techniques based on generative architectures are able to obtain synthetic multimedia contents, or commonly called deepfakes, with almost no artifacts. Re…
The Evolving Path of "the Right to Be Left Alone" - When Privacy Meets Technology
Michela Iezzi
This paper deals with the hot, evergreen topic of the relationship between privacy and technology. We give extensive motivation for why the privacy debate is still alive for privat…
The macroeconomic cost of climate volatility
Piergiorgio Alessandri, Haroon Mumtaz
We study the impact of climate volatility on economic growth exploiting data on 133 countries between 1960 and 2019. We show that the conditional (ex ante) volatility of annual tem…
Ranking the information content of distance measures
Aldo Glielmo, Claudio Zeni, Bingqing Cheng +2
Real-world data typically contain a large number of features that are often heterogeneous in nature, relevance, and also units of measure. When assessing the similarity between dat…
iWarded: A System for Benchmarking Datalog+/- Reasoning (technical report)
Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger +1
Recent years have seen increasing popularity of logic-based reasoning systems, with research and industrial interest as well as many flourishing applications in the area of Knowled…