:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Raffel, Matthew, Chen, Lizhong
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2505.13813
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network
por: Raffel, Matthew, et al.
Publicado: (2025)

Kolmogorov-Arnold Transformer
por: Yang, Xingyi, et al.
Publicado: (2024)

PostHoc FREE Calibrating on Kolmogorov Arnold Networks
por: Liang, Wenhao, et al.
Publicado: (2025)

KAC: Kolmogorov-Arnold Classifier for Continual Learning
por: Hu, Yusong, et al.
Publicado: (2025)

Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment
por: Yu, Shaode, et al.
Publicado: (2024)

Kolmogorov-Arnold Network Autoencoders
por: Moradi, Mohammadamin, et al.
Publicado: (2024)

Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
por: Qiu, Xingyu, et al.
Publicado: (2026)

SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions
por: Reinhardt, Eric A. F., et al.
Publicado: (2024)

Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
por: Yu, Ray Congrui, et al.
Publicado: (2024)

Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks
por: Cheon, Minjong
Publicado: (2024)

Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies
por: Drokin, Ivan
Publicado: (2024)

A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
por: Cacciatore, Alessandro, et al.
Publicado: (2024)

DualFlexKAN: Dual-stage Kolmogorov-Arnold Networks with Independent Function Control
por: Ortiz, Andrés, et al.
Publicado: (2026)

HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks
por: Fang, Xiangfei, et al.
Publicado: (2025)

Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning
por: Shen, Sheng, et al.
Publicado: (2024)

LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks
por: Merin-Martinez, Eduardo Said, et al.
Publicado: (2026)

Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment
por: Chen, Ze, et al.
Publicado: (2025)

Detecting the Undetectable: Combining Kolmogorov-Arnold Networks and MLP for AI-Generated Image Detection
por: Anon, Taharim Rahman, et al.
Publicado: (2024)

KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks
por: Cheon, Minjong
Publicado: (2026)

ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation
por: Gyanchandani, Bhavesh, et al.
Publicado: (2024)

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks
por: Werner, Yannick, et al.
Publicado: (2025)

TruKAN: Towards More Efficient Kolmogorov-Arnold Networks Using Truncated Power Functions
por: Bayeh, Ali, et al.
Publicado: (2026)

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding
por: Liu, Christina, et al.
Publicado: (2025)

Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials
por: Seydi, Seyd Teymoor
Publicado: (2024)

Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation
por: Wang, Tianfu, et al.
Publicado: (2024)

Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces
por: Bond, Andrew, et al.
Publicado: (2026)

KAN-Dreamer: Benchmarking Kolmogorov-Arnold Networks as Function Approximators in World Models
por: Shi, Chenwei, et al.
Publicado: (2025)

RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
por: Sreelatha, Silpa Vadakkeeveetil, et al.
Publicado: (2025)

KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures
por: Shafie, Mohammad Reza, et al.
Publicado: (2025)

Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes
por: Lee, Youngjoon, et al.
Publicado: (2025)

Realistic Evaluation of Model Merging for Compositional Generalization
por: Tam, Derek, et al.
Publicado: (2024)

Flexible Concept Bottleneck Model
por: Du, Xingbo, et al.
Publicado: (2025)

Hyperbolic Concept Bottleneck Models
por: Uyterlinde, Daniel, et al.
Publicado: (2026)

Interpretable and Steerable Concept Bottleneck Sparse Autoencoders
por: Kulkarni, Akshay, et al.
Publicado: (2025)

Towards Faithful Multimodal Concept Bottleneck Models
por: Moreau, Pierre, et al.
Publicado: (2026)

Disentangled Representation Learning with Transmitted Information Bottleneck
por: Dang, Zhuohang, et al.
Publicado: (2023)

Concept Bottleneck Models Without Predefined Concepts
por: Schrodi, Simon, et al.
Publicado: (2024)

Unsqueeze [CLS] Bottleneck to Learn Rich Representations
por: Su, Qing, et al.
Publicado: (2024)

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling
por: Li, Xinhao, et al.
Publicado: (2024)

Debugging Concept Bottleneck Models through Removal and Retraining
por: Enouen, Eric, et al.
Publicado: (2025)