Riccardo Torre

University of Liverpool — United Kingdom

Physics and Astronomy · Physical Sciences

30h-index5.1kcitations100works3.92yr avg
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Research Topics

Particle physics theoretical and experimental studies(67), High-Energy Particle Collisions Research(24), Quantum Chromodynamics and Particle Interactions(22), Particle Detector Development and Performance(20), Cosmology and Gravitation Theories(13)

Publications79 total

Isolating chirality-breaking SMEFT operators with Drell-Yan angular analysis
arXiv (Cornell University)·2025Open Access
Comparing Generative Models with the New Physics Learning Machine
arXiv (Cornell University)·2025Open Access
A simplified model of Heavy Vector Singlets for the LHC and future colliders
Journal of High Energy Physics·2025Open Access
Refereeing the referees: evaluating two-sample tests for validating generators in precision sciences
Machine Learning Science and Technology·2025· 1 citedOpen Access
The NFLikelihood: An unsupervised DNNLikelihood from normalizing flows
SciPost Physics Core·2024· 2 citedOpen Access
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
Symmetry·2024· 6 citedOpen Access
More variables or more bins? Impact on the EFT interpretation of Drell–Yan measurements
The European Physical Journal C·2024· 3 citedOpen Access
A Simplified Model of Heavy Vector Singlets for the LHC and Future Colliders
arXiv (Cornell University)·2024Open Access
More variables or more bins? Impact on the EFT interpretation of Drell-Yan measurements
arXiv (Cornell University)·2024Open Access
The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
arXiv (Cornell University)·2023Open Access
Datasets and Trained Models of the paper: The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Datasets and Trained Models of the paper: The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
arXiv (Cornell University)·2023· 3 citedOpen Access
Testing the boundaries: Normalizing Flows for higher dimensional data sets
Journal of Physics Conference Series·2023· 4 citedOpen Access
The role of vector boson fusion in the production of heavy vector triplets at the LHC and HL-LHC
Journal of High Energy Physics·2022· 5 citedOpen Access
The Role of Vector Boson Fusion in the Production of Heavy Vector Triplets at the LHC and HL-LHC
arXiv (Cornell University)·2022Open Access
Muon Collider Physics Summary
arXiv (Cornell University)·2022Open Access
Testing the boundaries: Normalizing Flows for higher dimensional data sets
arXiv (Cornell University)·2022Open Access
Publishing statistical models: Getting the most out of particle physics experiments
SciPost Physics·2022· 49 citedOpen Access
Report on 2109.04981v1
2021Open Access
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Frequent Co-authors

Andrea Wulzer(7), Christoffer Petersson(7), Andrea Thamm(7), Matthew McCullough(6), Roberto Franceschini(5), Gian F. Giudice(5), Duccio Pappadopulo(5), A. Coccaro(5), Алессандро Струмиа(4), Francesco Riva(4), Humberto Reyes-González(4), M. Battaglia(3), M. Pierini(3), L. Silvestrini(3), Gabriele Ferretti(3), Javi Serra(3), Alfredo Urbano(2), Jernej F. Kamenik(2), Riccardo Rattazzi(2), Marco Farina(2)