This repository contains the official code and pretrained models for the paper "Learning Linearity in Audio Consistency Autoencoders via Implicit Regularization". This creates a structured latent ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

This code implements an algorithm that predicts blood glucose levels by analyzing the intensity of different wavelengths using Raman spectroscopy. It trains a linear-scaling autoencoder (LSE) model on ...

Data-driven industrial soft sensor modeling techniques have been widely applied in predicting key variables in complex industrial processes. However, with industrial processes becoming increasingly ...

Abstract: In this paper, we address the shortcomings of traditional unsupervised fault diagnosis methods in handling high-dimensional, nonlinear, and highly complex fault diagnosis problems, and ...