activity
20232026
collaborators

5 papers

math.AG2026

Linear Independence of Polynomial Compositions with Bounded Input Degree

Xiaotian Chang, Yacoub Hendi

We prove the weak composition-independence conjectures of Kohn, Marchetti, Massarenti and Mella. The proof uses deformations of rational curves and a single kernel of the linearize…

stat.ML2026

Learning the Graphical Nature of Symmetries

Rashid Barket, Enrico Grimaldi, Yacoub Hendi +3

Finite groups are rigid algebraic objects, whose Cayley graphs expose a rich network geometry through which group-theoretic structure can be measured, compared, and learned. In thi…

cs.LG2026

The Geometry of Polynomial Group Convolutional Neural Networks

Yacoub Hendi, Daniel Persson, Magdalena Larfors

We study polynomial group convolutional neural networks (PGCNNs) for an arbitrary finite group . In particular, we introduce a new mathematical framework for PGCNNs using the la…

hep-th2024

Learning Group Invariant Calabi-Yau Metrics by Fundamental Domain Projections

Yacoub Hendi, Magdalena Larfors, Moritz Walden

We present new invariant machine learning models that approximate the Ricci-flat metric on Calabi-Yau (CY) manifolds with discrete symmetries. We accomplish this by combining the $…

cs.FL2023

Parameterized Verification under TSO with Data Types

Parosh Aziz Abdulla, Mohamed Faouzi Atig, Florian Furbach +4

We consider parameterized verification of systems executing according to the total store ordering (TSO) semantics. The processes manipulate abstract data types over potentially inf…