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08/26/2023
Homological Convolutional Neural Networks
Deep learning methods have demonstrated outstanding performances on clas...
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06/27/2023
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
The rapid progress of Artificial Intelligence research came with the dev...
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02/19/2023
Topological Feature Selection: A Graph-Based Filter Feature Selection Approach
In this paper, we introduce a novel unsupervised, graph-based filter fea...
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03/08/2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
We propose an end-to-end architecture for multivariate time-series predi...
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01/18/2021
Deep Reinforcement Learning for Active High Frequency Trading
We introduce the first end-to-end Deep Reinforcement Learning (DRL) base...
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07/12/2020
Deep Learning modeling of Limit Order Book: a comparative perspective
The present work addresses theoretical and practical questions in the do...
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05/10/2020
Topological regularization with information filtering networks
A methodology to perform topological regularization via information filt...
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04/07/2020
The cost of Bitcoin mining has never really increased
The Bitcoin network is burning a large amount of energy for mining. In t...
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06/11/2019
Achieving competitive advantage in academia through early career coauthorship with top scientists
We quantify the long term impact that the coauthorship with established ...
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05/06/2019
Learning Clique Forests
We propose a topological learning algorithm for the estimation of the co...
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02/23/2019
A Decentralised Digital Identity Architecture
Current architectures to validate, certify, and manage identity are base...
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11/29/2018
Can Cryptocurrencies Preserve Privacy and Comply with Regulations?
Modern retail banking creates a kind of panopticon for consumer behaviou...
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07/13/2018
Forecasting market states
We propose a novel methodology to define, analyse and forecast market st...
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08/22/2017
Dynamic correlations at different time-scales with Empirical Mode Decomposition
The Empirical Mode Decomposition (EMD) provides a tool to characterize t...
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02/23/2016
Parsimonious modeling with Information Filtering Networks
We introduce a methodology to construct parsimonious probabilistic model...
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07/03/2015