Vahid Shahverdi

12 papers A 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Identifiable Equivariant Networks are Layerwise Equivariant.
CoRR
Vahid Shahverdi, Giovanni Luca Marchetti, Georg Bökman, Kathlén Kohn
2025 J jnl
An Invitation to Neuroalgebraic Geometry.
CoRR
Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn
2025 J jnl
Geometry of Linear Neural Networks: Equivariance and Invariance Under Permutation Groups.
SIAM J. Matrix Anal. Appl.
Kathlén Kohn, Anna-Laura Sattelberger, Vahid Shahverdi
2025 J jnl
Learning on a Razor's Edge: the Singularity Bias of Polynomial Neural Networks.
CoRR
Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn
2025 A conf
On the Geometry and Optimization of Polynomial Convolutional Networks.
AISTATS
Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn
2025 — conf
Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry.
ICML (Position Papers)
Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn
2024 J jnl
Algebraic Complexity and Neurovariety of Linear Convolutional Networks.
CoRR
Vahid Shahverdi
2024 J jnl
Function Space and Critical Points of Linear Convolutional Networks.
SIAM J. Appl. Algebra Geom.
Kathlén Kohn, Guido Montúfar, Vahid Shahverdi, Matthew Trager
2024 J jnl
Moment Constraints and Phase Recovery for Multireference Alignment.
CoRR
Vahid Shahverdi, Emanuel Ström, Joakim Andén
2024 J jnl
On the Geometry and Optimization of Polynomial Convolutional Networks.
CoRR
Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn
2023 J jnl
Function Space and Critical Points of Linear Convolutional Networks.
CoRR
Kathlén Kohn, Guido Montúfar, Vahid Shahverdi, Matthew Trager
2023 J jnl
Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups.
CoRR
Kathlén Kohn, Anna-Laura Sattelberger, Vahid Shahverdi