:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Filimoshina, Ekaterina, Shirokov, Dmitry
Format:	Preprint
Published:	2025
Subjects:	Machine Learning 68T07, 15A66
Online Access:	https://arxiv.org/abs/2506.09625
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Lie Groups Preserving Subspaces of Degenerate Clifford Algebras
by: Filimoshina, E. R., et al.
Published: (2026)

Generalized Degenerate Clifford and Lipschitz Groups in Geometric Algebras
by: Filimoshina, E. R., et al.
Published: (2025)

On Some Lie Groups in Degenerate Clifford Geometric Algebras
by: Filimoshina, E. R., et al.
Published: (2023)

A Note on Centralizers and Twisted Centralizers in Clifford Algebras
by: Filimoshina, E. R., et al.
Published: (2024)

On Commutative Analogues of Clifford Algebras and Their Decompositions
by: Sharma, Heerak, et al.
Published: (2025)

Determinant, Characteristic Polynomial, and Inverse in Commutative Analogues of Clifford Algebras
by: Sharma, Heerak, et al.
Published: (2024)

Noncommutative Vieta Theorem in Clifford Geometric Algebras
by: Shirokov, D. S.
Published: (2023)

On generalization of Lipschitz groups and spin groups
by: Filimoshina, E. R., et al.
Published: (2022)

On Unitary Groups in Ternary and Generalized Clifford Algebras
by: Shirokov, D. S.
Published: (2025)

On SVD and Polar Decomposition in Real and Complexified Clifford Algebras
by: Shirokov, D. S.
Published: (2024)

Symplectic, orthogonal and linear Lie groups in Clifford algebra
by: Shirokov, D. S.
Published: (2014)

On Rank of Multivectors in Geometric Algebras
by: Shirokov, D. S.
Published: (2024)

A Neural Operator based on Dynamic Mode Decomposition
by: Sakovich, Nikita, et al.
Published: (2025)

Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks
by: Chen, Ying, et al.
Published: (2026)

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms
by: Ali, Alejandro Mata, et al.
Published: (2023)

Classification of Lie algebras of specific type in complexified Clifford algebras
by: Shirokov, D. S.
Published: (2017)

On some Lie groups containing spin group in Clifford algebra
by: Shirokov, D. S.
Published: (2016)

Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation
by: Yakir, Eyal, et al.
Published: (2025)

Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
by: Appella, Simone, et al.
Published: (2024)

Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers
by: Yudin, Nikolay, et al.
Published: (2025)

Neural-Guided Domain Restriction to Accelerate Pseudospectra Computation for Structured Non-normal Banded Matrices
by: Punia, Amit, et al.
Published: (2026)

MonoKAN: Certified Monotonic Kolmogorov-Arnold Network
by: Polo-Molina, Alejandro, et al.
Published: (2024)

Geometric separation and constructive universal approximation with two hidden layers
by: Sung, Chanyoung
Published: (2026)

DyKAF: Dynamical Kronecker Approximation of the Fisher Information Matrix for Gradient Preconditioning
by: Yudin, Nikolay, et al.
Published: (2025)

Extending Hridaya Kolam to Multiple Loops: A Study of Non-Coprime Dot--Arm Structures
by: Manna, Atanu, et al.
Published: (2025)

A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024)

Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach
by: Andreini, Paolo, et al.
Published: (2026)

On the Equivariant Learning of the $Q$-tensor Order Parameter
by: Navarro, Julia, et al.
Published: (2026)

Bayesian Jammer Localization with a Hybrid CNN and Path-Loss Mixture of Experts
by: Jaramillo-Civill, Mariona, et al.
Published: (2025)

Self-Attention as Transport: Limits of Symmetric Spectral Diagnostics
by: Dahlem, Dominik, et al.
Published: (2026)

Quantitative Approximation Rates for Group Equivariant Learning
by: Siegel, Jonathan W., et al.
Published: (2026)

Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
by: Chowdhury, Soutrik Roy
Published: (2024)

On Clifford Algebras of Infinite Dimensional Vector Spaces
by: Bezushchak, Oksana
Published: (2024)

Posterior Bayesian Neural Networks with Dependent Weights
by: Apollonio, Nicola, et al.
Published: (2025)

Identifiability of Deep Polynomial Neural Networks
by: Usevich, Konstantin, et al.
Published: (2025)

A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization
by: Dong, Lei
Published: (2026)

Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals
by: Jo, Hyeontae, et al.
Published: (2025)

Supervised Guidance Training for Infinite-Dimensional Diffusion Models
by: Baker, Elizabeth L., et al.
Published: (2026)

Calculation of Spin Group Elements Revisited
by: Shirokov, D. S.
Published: (2024)

Neural Networks Trained by Weight Permutation are Universal Approximators
by: Cai, Yongqiang, et al.
Published: (2024)