Biagio Lucini

According to our database, Biagio Lucini authored at least 15 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks.

Chanju Park, Biagio Lucini, Gert Aarts

CoRR, September, 2025

Embarrassingly Agile - Data Visualization Methodology in Emergency Responses.

Barbora Kozlíková, Daniel Archambault, Johannes Dreesman, Andreas Kerren, Biagio Lucini, Cagatay Turkay

IEEE Computer Graphics and Applications, 2025

2024

Random Matrix Theory for Stochastic Gradient Descent.

Chanju Park, Matteo Favoni, Biagio Lucini, Gert Aarts

CoRR, 2024

Dyson Brownian motion and random matrix dynamics of weight matrices during learning.

Gert Aarts, Ouraman Hajizadeh, Biagio Lucini, Chanju Park

CoRR, 2024

Stochastic weight matrix dynamics during learning and Dyson Brownian motion.

Gert Aarts, Biagio Lucini, Chanju Park

CoRR, 2024

2022

Applications of Machine Learning to Lattice Quantum Field Theory.

Denis Boyda, Salvatore Calì, Sam Foreman, Lena Funcke, Daniel C. Hackett, Yin Lin, Gert Aarts, Andrei Alexandru, Xiao-Yong Jin, Biagio Lucini, Phiala E. Shanahan

CoRR, 2022

2021

Quantum field theories, Markov random fields and machine learning.

Dimitrios Bachtis, Gert Aarts, Biagio Lucini

CoRR, 2021

Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology.

Nicholas Sale, Jeffrey Giansiracusa, Biagio Lucini

CoRR, 2021

Machine learning with quantum field theories.

Dimitrios Bachtis, Gert Aarts, Biagio Lucini

CoRR, 2021

Quantum field-theoretic machine learning.

Dimitrios Bachtis, Gert Aarts, Biagio Lucini

CoRR, 2021

2020

Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration.

Dimitrios Bachtis, Gert Aarts, Biagio Lucini

CoRR, 2020

Extending machine learning classification capabilities with histogram reweighting.

Dimitrios Bachtis, Gert Aarts, Biagio Lucini

CoRR, 2020

2016

BSMBench: A flexible and scalable HPC benchmark from beyond the standard model physics.

Ed Bennett, Biagio Lucini, Luigi Del Debbio, Kirk E. Jordan, Agostino Patella, Claudio Pica, Antonio Rago

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2014

BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics.

Ed Bennett, Luigi Del Debbio, Kirk E. Jordan, Biagio Lucini, Agostino Patella, Claudio Pica, Antonio Rago

CoRR, 2014

2005

A cluster algorithm for lattice gauge theories.

Fabien Alet, Biagio Lucini, Michele Vettorazzo

Comput. Phys. Commun., 2005