Cross correlations of the American baby names. - Paolo Barucca; Jacopo Rocchi; Enzo Marinari; Giorgio Parisi; Federico Ricci-Tersenghi (CoRR, 2014)

Centrality metrics and localization in core-periphery networks. - Paolo Barucca; Daniele Tantari; Fabrizio Lillo (CoRR, 2015)

Spectral partitioning in random regular blockmodels. - Paolo Barucca (CoRR, 2016)

Detectability of ranking hierarchies in directed networks. - Elisa Letizia; Paolo Barucca; Fabrizio Lillo (CoRR, 2016)

Detectability thresholds in networks with dynamic link and community structure. - Paolo Barucca; Fabrizio Lillo; Piero Mazzarisi; Daniele Tantari (CoRR, 2017)

Tackling information asymmetry in networks: a new entropy-based ranking index. - Paolo Barucca; Guido Caldarelli; Tiziano Squartini (CoRR, 2017)

The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market. - Paolo Barucca; Fabrizio Lillo (Comput. Manag. Sci., 2018)

Network models of financial systemic risk: a review. - Fabio Caccioli; Paolo Barucca; Teruyoshi Kobayashi (J. Comput. Soc. Sci., 2018)

Spectral density of equitable core-periphery graphs. - Paolo Barucca (CoRR, 2019)

A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market. - Piero Mazzarisi; Paolo Barucca; Fabrizio Lillo; Daniele Tantari (Eur. J. Oper. Res., 2020)

Stochastic Recurrent Neural Network for Multistep Time Series Forecasting. - Zexuan Yin; Paolo Barucca (ICONIP (1), 2021)

The Physics of Financial Networks. - Marco Bardoscia; Paolo Barucca; Stefano Battiston; Fabio Caccioli; Giulio Cimini; Diego Garlaschelli; Fabio Saracco; Tiziano Squartini; Guido Caldarelli (CoRR, 2021)

Online Learning with Radial Basis Function Networks. - Gabriel Borrageiro; Nick Firoozye; Paolo Barucca (CoRR, 2021)

Evaluating structural edge importance in temporal networks. - Isobel E. Seabrook; Paolo Barucca; Fabio Caccioli (EPJ Data Sci., 2021)

Sequential asset ranking in nonstationary time series. - Gabriel Francisco Borrageiro; Nick Firoozye; Paolo Barucca (ICAIF, 2022)

Reinforcement Learning for Systematic FX Trading. - Gabriel Borrageiro; Nick Firoozye; Paolo Barucca (IEEE Access, 2022)

The Recurrent Reinforcement Learning Crypto Agent. - Gabriel Borrageiro; Nick Firoozye; Paolo Barucca (IEEE Access, 2022)

Structural importance and evolution: an application to financial transaction networks. - Isobel E. Seabrook; Paolo Barucca; Fabio Caccioli (CoRR, 2022)

Neural Generalised AutoRegressive Conditional Heteroskedasticity. - Zexuan Yin; Paolo Barucca (CoRR, 2022)

Sequential Asset Ranking within Nonstationary Time Series. - Gabriel Borrageiro; Nick Firoozye; Paolo Barucca (CoRR, 2022)

Variational Heteroscedastic Volatility Model. - Zexuan Yin; Paolo Barucca (CoRR, 2022)

Deep Reinforcement Learning for Optimal Investment and Saving Strategy Selection in Heterogeneous Profiles: Intelligent Agents working towards retirement. - Fatih Ozhamaratli; Paolo Barucca (CoRR, 2022)

Modelling Equity Transaction Networks as Bursty Processes. - Isobel E. Seabrook; Paolo Barucca; Fabio Caccioli (CoRR, 2022)

Simplicial Persistence of Financial Markets: Filtering, Generative Processes and Structural Risk. - Jeremy D. Turiel; Paolo Barucca; Tomaso Aste (Entropy, 2022)

Consensus formation on heterogeneous networks. - Edoardo Fadda; Junda He; Claudio J. Tessone; Paolo Barucca (EPJ Data Sci., 2022)

A generative model for age and income distribution. - Fatih Ozhamaratli; Oleg Kitov; Paolo Barucca (EPJ Data Sci., 2022)

Deep recurrent modelling of Granger causality with latent confounding. - Zexuan Yin; Paolo Barucca (Expert Syst. Appl., 2022)

Multi-agent Financial Systems with RL: A Pension Ecosystem Case. - Fatih Ozhamaratli; Paolo Barucca (MABS, 2023)

Heterogeneous Retirement Savings Strategy Selection with Reinforcement Learning. - Fatih Ozhamaratli; Paolo Barucca (Entropy, 2023)

Whack-a-mole Learning: Physics- Informed Deep Calibration for Implied Volatility Surface. - Kentaro Hoshisashi; Carolyn E. Phelan; Paolo Barucca (CIFEr, 2024)

Whack-a-mole Online Learning: Physics-Informed Neural Network for Intraday Implied Volatility Surface. - Kentaro Hoshisashi; Carolyn E. Phelan; Paolo Barucca (ICAIF, 2024)

Random matrix ensemble for the covariance matrix of Ornstein-Uhlenbeck processes with heterogeneous temperatures. - Leonardo Ferreira; Fernando Metz; Paolo Barucca (CoRR, 2024)

How the interplay between power concentration, competition, and propagation affects the resource efficiency of distributed ledgers. - Paolo Barucca; Carlo Campajola; Jiahua Xu 002 (CoRR, 2024)

Granger Causality Detection with Kolmogorov-Arnold Networks. - Hongyu Lin; Mohan Ren; Paolo Barucca; Tomaso Aste (CoRR, 2024)

Parsimonious Hawkes Processes for temporal networks modelling. - Yuwei Zhu; Paolo Barucca (CoRR, 2025)