Biagio Lucini

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Embarrassingly Agile - Data Visualization Methodology in Emergency Responses.
IEEE Computer Graphics and Applications
Barbora Kozlíková, Daniel Archambault, Johannes Dreesman, Andreas Kerren, Biagio Lucini, Cagatay Turkay
2025 J jnl
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks.
CoRR
Chanju Park, Biagio Lucini, Gert Aarts
2025 J jnl
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks.
Mach. Learn. Sci. Technol.
Chanju Park, Biagio Lucini, Gert Aarts
2024 J jnl
Dyson Brownian motion and random matrix dynamics of weight matrices during learning.
CoRR
Gert Aarts, Ouraman Hajizadeh, Biagio Lucini, Chanju Park
2024 J jnl
Random Matrix Theory for Stochastic Gradient Descent.
CoRR
Chanju Park, Matteo Favoni, Biagio Lucini, Gert Aarts
2024 J jnl
Stochastic weight matrix dynamics during learning and Dyson Brownian motion.
CoRR
Gert Aarts, Biagio Lucini, Chanju Park
2022 J jnl
Applications of Machine Learning to Lattice Quantum Field Theory.
CoRR
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
2021 J jnl
Machine learning with quantum field theories.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2021 J jnl
Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology.
CoRR
Nicholas Sale, Jeffrey Giansiracusa, Biagio Lucini
2021 J jnl
Quantum field theories, Markov random fields and machine learning.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2021 J jnl
Quantum field-theoretic machine learning.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2020 J jnl
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2020 J jnl
Extending machine learning classification capabilities with histogram reweighting.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2016 — conf
BSMBench: A flexible and scalable HPC benchmark from beyond the standard model physics.
HPCS
Ed Bennett, Biagio Lucini, Luigi Del Debbio, Kirk E. Jordan, Agostino Patella, Claudio Pica, Antonio Rago
2014 J jnl
BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics.
CoRR
Ed Bennett, Luigi Del Debbio, Kirk E. Jordan, Biagio Lucini, Agostino Patella, Claudio Pica, Antonio Rago
2005 J jnl
A cluster algorithm for lattice gauge theories.
Comput. Phys. Commun.
Fabien Alet, Biagio Lucini, Michele Vettorazzo