Vahid Shahverdi

According to our database, Vahid Shahverdi authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Identifiable Equivariant Networks are Layerwise Equivariant.

Vahid Shahverdi, Giovanni Luca Marchetti, Georg Bökman, Kathlén Kohn

CoRR, January, 2026

2025

Learning on a Razor's Edge: the Singularity Bias of Polynomial Neural Networks.

Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn

CoRR, May, 2025

An Invitation to Neuroalgebraic Geometry.

Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn

CoRR, January, 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

Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry.

Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn

Proceedings of the Forty-second International Conference on Machine Learning, 2025

On the Geometry and Optimization of Polynomial Convolutional Networks.

Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Function Space and Critical Points of Linear Convolutional Networks.

Kathlén Kohn, Guido Montúfar, Vahid Shahverdi, Matthew Trager

SIAM J. Appl. Algebra Geom., 2024

Moment Constraints and Phase Recovery for Multireference Alignment.

Vahid Shahverdi, Emanuel Ström, Joakim Andén

CoRR, 2024

Algebraic Complexity and Neurovariety of Linear Convolutional Networks.

Vahid Shahverdi

CoRR, 2024