Algebraic Complexity and Neurovariety of Linear Convolutional Networks. - Vahid Shahverdi (CoRR, 2024)

Moment Constraints and Phase Recovery for Multireference Alignment. - Vahid Shahverdi; Emanuel Ström; Joakim Andén (CoRR, 2024)

Function Space and Critical Points of Linear Convolutional Networks. - Kathlén Kohn; Guido Montúfar; Vahid Shahverdi; Matthew Trager (SIAM J. Appl. Algebra Geom., 2024)

On the Geometry and Optimization of Polynomial Convolutional Networks. - Vahid Shahverdi; Giovanni Luca Marchetti; Kathlén Kohn (AISTATS, 2025)

Geometry of Linear Neural Networks: Equivariance and Invariance Under Permutation Groups. - Kathlén Kohn; Anna-Laura Sattelberger; Vahid Shahverdi (SIAM J. Matrix Anal. Appl., 2025)

An Invitation to Neuroalgebraic Geometry. - Giovanni Luca Marchetti; Vahid Shahverdi; Stefano Mereta; Matthew Trager; Kathlén Kohn (CoRR, 2025)

Learning on a Razor's Edge: the Singularity Bias of Polynomial Neural Networks. - Vahid Shahverdi; Giovanni Luca Marchetti; Kathlén Kohn (CoRR, 2025)