Cover Image

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Xianghong, Guo, Litao, Chen, Hengchao, Zhang, Yuxuan, XiaofanXia, Song, Dingjie, Liu, Yexin, Wang, Hao, Yang, Harry, Yuan, Yuan, Sun, Qiang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models
by: Liu, Ruikang, et al.
Published: (2025)

Decentralized Online Riemannian Optimization with Dynamic Environments
by: Chen, Hengchao, et al.
Published: (2024)

"You Are Rejected!": An Empirical Study of Large Language Models Taking Hiring Evaluations
by: Fu, Dingjie, et al.
Published: (2025)

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling
by: Yue, Yuxuan, et al.
Published: (2025)

Vector Quantized Diffusion Model Based Speech Bandwidth Extension
by: Fang, Yuan, et al.
Published: (2024)

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
by: Xu, Chen, et al.
Published: (2025)

Rethinking The Uniformity Metric in Self-Supervised Learning
by: Fang, Xianghong, et al.
Published: (2024)

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
by: Aubinais, Eric, et al.
Published: (2025)

Quantizing Text-attributed Graphs for Semantic-Structural Integration
by: Bo, Jianyuan, et al.
Published: (2025)

An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse
by: Cao, Yuan, et al.
Published: (2026)

Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
by: Yang, Xinqi, et al.
Published: (2024)

Gradient descent in matrix factorization: Understanding large initialization
by: Chen, Hengchao, et al.
Published: (2023)

An Empirical Study of Qwen3 Quantization
by: Zheng, Xingyu, et al.
Published: (2025)

Riemannian radial distributions on Riemannian symmetric spaces: Optimal rates of convergence for parameter estimation
by: Chen, Hengchao
Published: (2024)

Quotient geometry of bounded or fixed rank correlation matrices
by: Chen, Hengchao
Published: (2024)

Vector Quantization Prompting for Continual Learning
by: Jiao, Li, et al.
Published: (2024)

Hybrid Vector Message Passing for Generalized Bilinear Factorization
by: Jiang, Hao, et al.
Published: (2024)

Systematic Spurion Matching between Low Energy EFT and Chiral Lagrangian
by: Song, Chuan-Qiang, et al.
Published: (2025)

Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
by: Zhu, Yuchen, et al.
Published: (2025)

On the multi-$\mathbf{q}$ characteristics of magnetic ground states of honeycomb cobalt oxides
by: Gu, Yuchen, et al.
Published: (2025)

Cochlear_Registration_Activation_Maps_P2P_Model
by: Su, Dingjie
Published: (2025)

Cochlear_Registration_Activation_Maps_Chamfer_Model
by: Su, Dingjie
Published: (2025)

Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
by: Nguyen, Bac, et al.
Published: (2024)

Vector Linear Secure Aggregation
by: Yuan, Xihang, et al.
Published: (2025)

An Empirical Study of World Model Quantization
by: Fu, Zhongqian, et al.
Published: (2026)

Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization
by: Lu, Hao, et al.
Published: (2026)

Channel-wise Vector Quantization
by: Song, Wei, et al.
Published: (2026)

Tight minimum colored degree condition for rainbow connectivity
by: Czygrinow, Andrzej, et al.
Published: (2024)

On rainbow thresholds
by: Han, Jie, et al.
Published: (2023)

Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms
by: Ma, Yuxuan, et al.
Published: (2025)

An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
by: Guo, Yuejun, et al.
Published: (2026)

Contrastive General Graph Matching with Adaptive Augmentation Sampling
by: Bo, Jianyuan, et al.
Published: (2024)

Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability
by: Song, Ruizhuo, et al.
Published: (2024)

Theoretical Study of the Kinetics Mechanism Underlying GaN Epitaxy Growth on 4H‐SiC Substrate
by: Haidong Yuan, et al.
Published: (2025)

Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression
by: Zeng, Lingjie, et al.
Published: (2026)

Vector Quantization with Error Uniformly Distributed over an Arbitrary Set
by: Ling, Chih Wei, et al.
Published: (2023)

ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
by: Cao, Hao, et al.
Published: (2026)

Is Large Language Model Good at Triple Set Prediction? An Empirical Study
by: Yuan, Yuan, et al.
Published: (2024)

RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
by: Xu, Zukang, et al.
Published: (2025)