6 papers
Operational Emergence of a Global Phase under Time-Dependent Coupling in Oscillator Networks
Veronica Sanz
Collective synchronization is often summarized by a complex order parameter , implicitly treating the global phase as a meaningful macroscopic coordinate. Here we a…
Artificial Intelligence and Symmetries: Learning, Encoding, and Discovering Structure in Physical Data
Veronica Sanz
Symmetries play a central role in physics, organizing dynamics, constraining interactions, and determining the effective number of physical degrees of freedom. In parallel, modern…
Was the Early Universe Quantum? Falsifying Classical Stochastic Inflation
Veronica Sanz
Inflationary cosmology successfully accounts for the observed properties of primordial fluctuations using quantum field theory in an expanding background. However, the quantum natu…
Axion misalignment as a synchronization phenomenon
Veronica Sanz
We propose a dynamical reinterpretation of axion misalignment as an emergent collective phenomenon. Drawing an explicit parallel between axion field dynamics and synchronization in…
Strengthening Anomaly Awareness
Adam Banda, Charanjit K. Khosa, Veronica Sanz
We present a refined version of the Anomaly Awareness framework for enhancing unsupervised anomaly detection. Our approach introduces minimal supervision into Variational Autoencod…
Learning symmetries in datasets
Veronica Sanz
We investigate how symmetries present in datasets affect the structure of the latent space learned by Variational Autoencoders (VAEs). By training VAEs on data originating from sim…