2 citations · 2 across the 1 of their papers we have counts for
5 papers
Operational tracking loss in nonautonomous second-order oscillator networks
Veronica Sanz
We study when a network of coupled oscillators with inertia ceases to follow a time-dependent driving protocol coherently, using a simplified graph-based model motivated by inverte…
Adversarial Stress Tests for Quantum Certification
Veronica Sanz, Augusto Smerzi
We develop a practical framework for semi-device-independent (SDI) certification under operational deviations from the ideal protocol model. Apparent violations of classical benchm…
Machine-Learning-Inspired SMEFT Simplified Template Cross Sections: A Case Study in ZH Production
Daniel Conde, Miguel G. Folgado, Veronica Sanz
The Simplified Template Cross Section (STXS) program has become the standard interface between Higgs measurements and global fits, but its fixed one-dimensional boundaries are not…
Angular Coefficients from Interpretable Machine Learning with Symbolic Regression
Josh Bendavid, Daniel Conde, Manuel Morales-Alvarado +2
We explore the use of symbolic regression to derive compact analytical expressions for angular observables relevant to electroweak boson production at the Large Hadron Collider (LH…
Symbolic regression for precision LHC physics
Manuel Morales-Alvarado, Daniel Conde, Josh Bendavid +2
We study the potential of symbolic regression (SR) to derive compact and precise analytic expressions that can improve the accuracy and simplicity of phenomenological analyses at t…