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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski