Imagen de Portada

Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lee, Youngkyu, Park, Jongho, Lee, Chang-Ock
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Numerical Analysis 68W01, 68W40
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition
por: Klawonn, Axel, et al.
Publicado: (2024)

Computing and Enumerating Minimal Common Supersequences Between Two Strings
por: Sopp, Braeden, et al.
Publicado: (2026)

Optimal Bound for PCA with Outliers using Higher-Degree Voronoi Diagrams
por: Hashemian, Sajjad, et al.
Publicado: (2024)

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
por: Matti, Fabio, et al.
Publicado: (2025)

A finite element contour integral method for computing the resonances of metallic grating structures with subwavelength holes
por: Xi, Yingxia, et al.
Publicado: (2024)

Sub-Token Routing in LoRA for Adaptation and Query-Aware KV Compression
por: Jiang, Wei, et al.
Publicado: (2026)

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
por: Cai, HanQin, et al.
Publicado: (2023)

On Convergence of the Secant Method
por: Tan, Yan, et al.
Publicado: (2025)

The Lie algebra splitg2 with Mathematica using Zorn's matrices
por: Bjerregaard, Pablo Alberca, et al.
Publicado: (2002)

Sum-of-Gaussians tensor neural networks for high-dimensional Schrödinger equation
por: Zhou, Qi, et al.
Publicado: (2025)

Convex optimization over a probability simplex
por: Chok, James, et al.
Publicado: (2023)

Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks
por: Klawonn, Axel, et al.
Publicado: (2024)

Algorithm to generate ideals in a Lie algebra of matrices at any particular characteristic with Mathematica
por: Bjerregaard, Pablo Alberca, et al.
Publicado: (2002)

Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
por: Mitchell, Rupert, et al.
Publicado: (2025)

Shortest Paths without a Map, but with an Entropic Regularizer
por: Bubeck, Sébastien, et al.
Publicado: (2022)

Efficient error and variance estimation for randomized matrix computations
por: Epperly, Ethan N., et al.
Publicado: (2022)

Convergence of Markov Chains for Constant Step-size Stochastic Gradient Descent with Separable Functions
por: Shirokoff, David, et al.
Publicado: (2024)

Extensions of the regret-minimization algorithm for optimal design
por: Chen, Youguang, et al.
Publicado: (2025)

Learning to Control the Smoothness of Graph Convolutional Network Features
por: Wang, Shih-Hsin, et al.
Publicado: (2024)

Exact Algorithms and Lower Bounds for Stable Instances of Euclidean k-Means
por: Friggstad, Zachary, et al.
Publicado: (2018)

Building a Nest by an Automaton
por: Czyzowicz, Jurek, et al.
Publicado: (2019)

Covering and packing mixed-integer linear programs with a fixed number of constraints: Approximation and convex hull
por: Grobben, Kobe, et al.
Publicado: (2025)

Split Bregman Isotropic and Anisotropic Image Deblurring with Kronecker Product Sum Approximations using Single Precision Enlarged-GKB or RSVD Algorithms to provide low rank truncated SVDs
por: Alsubhi, Abdulmajeed, et al.
Publicado: (2024)

Improved Convergence Factor of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
por: Garner, Casey, et al.
Publicado: (2023)

Matrix perturbation bounds via contour bootstrapping
por: Tran, Phuc, et al.
Publicado: (2024)

Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning
por: Rokhlin, Dmitry B., et al.
Publicado: (2025)

A hierarchical Vovk-Azoury-Warmuth forecaster with discounting for online regression in RKHS
por: Rokhlin, Dmitry B.
Publicado: (2025)

Quasi-optimal hierarchically semi-separable matrix approximation
por: Amsel, Noah, et al.
Publicado: (2025)

Compression of Currents and Varifolds
por: Paul, Allen, et al.
Publicado: (2024)

Randomized batch-sampling Kaczmarz methods for solving linear systems
por: Xie, Dong-Yue, et al.
Publicado: (2025)

An Improved Drift Theorem for Balanced Allocations
por: Los, Dimitrios, et al.
Publicado: (2023)

Efficient Decomposition-Based Algorithms for $\ell_1$-Regularized Inverse Problems with Column-Orthogonal and Kronecker Product Matrices
por: Sweeney, Brian, et al.
Publicado: (2024)

How to Compute a Moving Sum
por: Maslen, David K., et al.
Publicado: (2025)

Robust Classification of Dynamic Bichromatic point Sets in R2
por: Glazenburg, Erwin, et al.
Publicado: (2024)

Euclidean k-center Fair Clusterings
por: Moritaka, Ayano, et al.
Publicado: (2025)

Eigenvalue stability and new perturbation bounds for the extremal eigenvalues of a matrix
por: Tran, Phuc, et al.
Publicado: (2026)

Parameter Selection by GCV and a $χ^2$ test within Iterative Methods for $\ell_1$-regularized Inverse Problems
por: Sweeney, Brian, et al.
Publicado: (2024)

Variable Projection Methods for Solving Regularized Separable Inverse Problems with Applications to Semi-Blind Image Deblurring
por: Salzer, Delfina B. Comerso, et al.
Publicado: (2026)

Convergence Analysis of a Variable Projection Method for Regularized Separable Nonlinear Inverse Problems
por: Español, Malena I., et al.
Publicado: (2024)

Fast operator learning for mapping correlations
por: Khoo, Yuehaw, et al.
Publicado: (2025)