25 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Campania "Luigi Vanvitelli"IT4 papers
- University of Rome Tor VergataIT3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Sapienza University of RomeIT2 papers
- Scuola Superiore Sant'AnnaIT2 papers
- Centre de Physique ThéoriqueFR1 paper
- Collège de FranceFR1 paper
- Consorzio Nazionale Interuniversitario per le TelecomunicazioniIT1 paper
- Drug Discovery Laboratory (Norway)NO1 paper
- École PolytechniqueFR1 paper
- Graz University of TechnologyAT1 paper
- Institut de Mathématiques de ToulouseFR1 paper
16 papers
Graph Neural Networks Trained on Null Signal for Angle Reconstruction in X-ray Polarimetry
Vittorio Latorre, Victor Rodriguez-Fernandez, Alessandro Di Marco +3
Scientific real detectors often produce sparse, irregular data defined on non-Euclidean domains, where conventional convolutional neural networks (CNNs) impose geometric biases tha…
On-Device Neural Architecture Search
Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +2
This paper proposes a new approach to near-sensor computing, in which a lightweight Neural Architecture Search (NAS) is performed directly on the deployment device to find the best…
Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting
Yuri Calleo
The modeling of high-dimensional spatio-temporal processes presents a fundamental dichotomy between the probabilistic rigor of classical geostatistics and the flexible, high-capaci…
The Sustainable Future is now: a dynamic model to advance investments in PV and Energy Storage
L. Becchetti, N. Solferino, M. E. Tessitore
We examine the relationship among photovoltaic (PV) investments, energy production, and environmental impact using a dynamic optimization model. Our findings show that increasing i…
Unveiling Biases in AI: ChatGPT's Political Economy Perspectives and Human Comparisons
Leonardo Becchetti, Nazaria Solferino
We explore the political and ideological positioning of ChatGPT, a leading large language model (LLM), by comparing its responses to political economy questions from the European S…
Strong bounds for large-scale Minimum Sum-of-Squares Clustering
Anna Livia Croella, Veronica Piccialli, Antonio M. Sudoso
Clustering is a fundamental technique in data analysis and machine learning, used to group similar data points together. Among various clustering methods, the Minimum Sum-of-Square…
Functional Clustering of Discount Functions for Behavioral Investor Profiling
Annamaria Porreca, Viviana Ventre, Roberta Martino +2
Classical finance models are based on the premise that investors act rationally and utilize all available information when making portfolio decisions. However, these models often f…
Novel Fuzzy Centrality Measures in Vague Social Networks
Annamaria Porreca, Fabrizio Maturo, Viviana Ventre
Social network analysis (SNA) helps us understand the relationships and interactions between individuals, groups, organizations, or other social entities. In the literature, ties a…
Random Survival Forest for Censored Functional Data
Elvira Romano, Giuseppe Loffredo, Fabrizio Maturo
This paper introduces a Random Survival Forest (RSF) method for functional data. The focus is specifically on defining a new functional data structure, the Censored Functional Data…
Supervised Learning via Ensembles of Diverse Functional Representations: the Functional Voting Classifier
Donato Riccio, Fabrizio Maturo, Elvira Romano
Many conventional statistical and machine learning methods face challenges when applied directly to high dimensional temporal observations. In recent decades, Functional Data Analy…
Learning Multi-Frequency Partial Correlation Graphs
Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi +2
Despite the large research effort devoted to learning dependencies between time series, the state of the art still faces a major limitation: existing methods learn partial correlat…
Optical identification using physical unclonable functions
Pantea Nadimi Goki, Stella Civelli, Emanuele Parente +5
In this work, the concept of optical identification (OI) based on physical unclonable functions is introduced for the first time, to our knowledge, in optical communication systems…
Influence of oxygen on electronic correlation and transport in iron in the outer Earth's core
German G. Blesio, Leonid V. Pourovskii, Markus Aichhorn +3
Knowing the transport properties of iron under realistic conditions present in the Earth's core is essential for the geophysical modeling of Earth's magnetic field generation. Besi…
Analysis of a two-layer energy balance model: long time behaviour and greenhouse effect
Piermarco Cannarsa, Valerio Lucarini, Patrick Martinez +2
We study a two-layer energy balance model, that allows for vertical exchanges between a surface layer and the atmosphere. The evolution equations of the surface temperature and the…
Environmental migration? An overview of the literature
Maria Cipollina, Luca De Benedictis, Elisa Scibè
The literature on the relationship between environmental factors such as climatic changes and natural hazards and human mobility (both internal and international) is characterized…
Intersection Types for a Computational Lambda-Calculus with Global State
Ugo de'Liguoro, Riccardo Treglia
We study the semantics of an untyped lambda-calculus equipped with operators representing read and write operations from and to a global store. We adopt the monadic approach to mod…