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20192025
most citedThree-Manifold Quantum Invariants and Mock Theta Functions

9 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets

Milton Nicolás Plasencia Palacios, Sebastiano Saccani, Gabriele Sgroi +2

Synthetic data has garnered attention as a Privacy Enhancing Technology (PET) in sectors such as healthcare and finance. When using synthetic data in practical applications, it is…

hep-th2024

3d Modularity Revisited

Miranda C. N. Cheng, Ioana Coman, Piotr Kucharski +2

The three-manifold topological invariants capture the half-index of the three-dimensional theory with supersymmetry obtained by compactifying the M5 bran…

hep-th2023★ 3 cited

Quantum Modular -Invariants

Miranda C. N. Cheng, Ioana Coman, Davide Passaro +1

We study the quantum modular properties of -invariants of closed three-manifolds. Higher depth quantum modular forms are expected to play a central role for general…

cs.LG2022

Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders

Ciro Antonio Mami, Andrea Coser, Eric Medvet +7

Synthetic data generation has recently gained widespread attention as a more reliable alternative to traditional data anonymization. The involved methods are originally developed f…

math.RT2022

Cone Vertex Algebras, Mock Theta Functions, and Umbral Moonshine Modules

Miranda C. N. Cheng, Gabriele Sgroi

We describe a family of indefinite theta functions of signature that can be expressed in terms of trace functions of vertex algebras built from cones in lattices. The famil…

math.NT2019★ 9 cited

Three-Manifold Quantum Invariants and Mock Theta Functions

Miranda C. N. Cheng, Francesca Ferrari, Gabriele Sgroi

Mock modular forms have found applications in numerous branches of mathematical sciences since they were first introduced by Ramanujan nearly a century ago. In this proceeding we h…