collaborators

11 papers

cs.GR2026

Proximity-Preserving Neural Subdivision

Hassan Ugail

Classical subdivision schemes are widely used because they are local, repeatable, and analytically tractable. A single stencil defines the entire refinement rule, and the behaviour…

physics.gen-ph2026

Reliable Weyl Diagnostics for an Inhomogeneous Universe in Numerical Relativity

Hassan Ugail

The electric and magnetic parts of the Weyl tensor provide a geometric diagnostic for describing the local gravitational structure of an inhomogeneous universe, and they allow us t…

math.NA2026

A Heisenberg Subdivision Scheme with Central Smoothness Loss

Hassan Ugail, Alfonso Carriazo

We introduce an interpolatory subdivision scheme for control polygons that take values in the three-dimensional Heisenberg group, the simplest noncommutative model geometry. The sc…

quant-ph2026

A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks

Hassan Ugail, Newton Howard

Symmetry provides a quantum neural network structure, but on its own it does not keep the network trainable once noise is present. We ask which physical quantity decides whether th…

physics.gen-ph2026

Geometric Phase-Space Structure in Cosmological Solutions of Einstein's Field Equations

Hassan Ugail

Einstein field equations allow cosmological dynamics to depart from the Friedmann-Lemaitre-Robertson-Walker (FLRW) idealisation in several physically different ways. Matter may bec…

cs.CV2026

Training Deep Visual Networks Beyond Loss and Accuracy Through a Dynamical Systems Approach

Hai La Quang, Hassan Ugail, Newton Howard +3

Deep visual recognition models are usually trained and evaluated using metrics such as loss and accuracy. While these measures show whether a model is improving, they reveal very l…