IEEE

VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization

Abstract: Normalizing flows, a category of probabilistic models famed for their capabilities in modeling complex data distributions, have exhibited remarkable efficacy in unsupervised anomaly ...
IEEE

Enabling Communication-efficient and Robust Federated Learning over Packet Lossy Networks via Random Interleaved Vector Quantization

In packet erasure networks, federated learning (FL) typically suffers more prohibitive communication overhead from massive retransmissions of high-dimensional gradients. As a result, recent studies ...
GitHub

Vector Search using Embeddings, FAISS and Product Quantization

This project implements an efficient similarity search system for lecture content using embeddings, FAISS and Product Quantization with custom index & KMeans implementations. It allows you to find ...
Investopedia

What Is Variance in Statistics? Definition, Formula, and Example

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
GitHub

FactorVQVAE: Discrete latent factor model via Vector Quantized Variational Autoencoder

FactorVQVAE-General/ ├── configs/ # Model configuration files ├── data/ # Dataset classes and Chinese stock data ├── module/ # Core model implementations ├── trainer/ # Training modules ├── utils/ # ...