Deep Learning modeling of Limit Order Book: a comparative perspective. - Antonio Briola; Jeremy D. Turiel; Tomaso Aste (CoRR, 2020)

Deep Reinforcement Learning for Active High Frequency Trading. - Antonio Briola; Jeremy D. Turiel; Riccardo Marcaccioli; Tomaso Aste (CoRR, 2021)

Anatomy of a Stablecoin's failure: the Terra-Luna case. - Antonio Briola; David Vidal-Tomás; Yuanrong Wang; Tomaso Aste (CoRR, 2022)

Dependency Structures in Cryptocurrency Market from High to Low Frequency. - Antonio Briola; Tomaso Aste (Entropy, 2022)

Topological Portfolio Selection and Optimization. - Yuanrong Wang; Antonio Briola; Tomaso Aste (ICAIF, 2023)

Homological Convolutional Neural Networks. - Antonio Briola; Yuanrong Wang; Silvia Bartolucci; Tomaso Aste (NeurReps, 2023)

Topological Feature Selection. - Antonio Briola; Tomaso Aste (TAG-ML, 2023)

Homological Neural Networks: A Sparse Architecture for Multivariate Complexity. - Yuanrong Wang; Antonio Briola; Tomaso Aste (TAG-ML, 2023)

Topological Feature Selection: A Graph-Based Filter Feature Selection Approach. - Antonio Briola; Tomaso Aste (CoRR, 2023)

Deep Limit Order Book Forecasting. - Antonio Briola; Silvia Bartolucci; Tomaso Aste (CoRR, 2024)

HLOB-Information persistence and structure in limit order books. - Antonio Briola; Silvia Bartolucci; Tomaso Aste (Expert Syst. Appl., 2025)

Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy - Bitcoin Interactions. - Sabrina Aufiero; Antonio Briola; Tesfaye Salarin; Fabio Caccioli; Silvia Bartolucci; Tomaso Aste (CoRR, 2025)