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20132026
most citedThetanulls of cyclic curves of small genus

22 citations · 28 across the 10 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.LG2025

Internalizing Tools as Morphisms in Graded Transformers

Tony Shaska

We introduce a graded formulation of internal symbolic computation for transformers. The hidden space is endowed with a grading , and symbolic operations a…

math.NT2025★ 3 cited

Rational Points and Zeta Functions of Humbert Surfaces with Square Discriminant

Elira Shaska, Jorge Mello, Sajad Salami +1

This paper examines the arithmetic of the loci \(\cL_n\), parameterizing genus 2 curves with \((n, n)\)-split Jacobians over finite fields \(\F_q\). We compute rational points \(|\…

math.AG2025

Weighted Heights and GIT Heights

Elira Shaska, Tony Shaska

We investigate the relationship between Geometric Invariant Theory (GIT) heights and weighted heights, with a focus on their interaction in weighted projective spaces and their app…

math.AG2025

Rational Functions on the Projective Line from a Computational Viewpoint

Eslam Badr, Elira Shaska, Tony Shaska

An explicit invariant-theoretic description of the moduli space of degree-three rational maps on is developed. A cubic map is represented, up t…

cs.LG2025

Neuro-Symbolic Learning for Galois Groups: Unveiling Probabilistic Trends in Polynomials

Elira Shaska, Tony Shaska

This paper presents a neurosymbolic approach to classifying Galois groups of polynomials, integrating classical Galois theory with machine learning to address challenges in algebra…

cs.LG2025★ 3 cited

Graded Neural Networks

Tony Shaska

This paper presents a novel framework for graded neural networks (GNNs) built over graded vector spaces $\V_\w^n$, extending classical neural architectures by incorporating algebra…

cs.LG2025

Galois groups of polynomials and neurosymbolic networks

Elira Shaska, Tony Shaska

This paper introduces a novel approach to understanding Galois theory, one of the foundational areas of algebra, through the lens of machine learning. By analyzing polynomial equat…

cs.AI2025

A Neurosymbolic Framework for Geometric Reduction of Binary Forms

Ilias Kotsireas, Tony Shaska

This paper compares Julia reduction and hyperbolic reduction with the aim of finding equivalent binary forms with minimal coefficients. We demonstrate that hyperbolic reduction gen…