News

IEEE6y
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning
Specifically, we propose an autoencoder-based matrix completion model that performs prediction of the unknown matrix values as a main task, and manifold learning as an auxiliary task. The latter acts ...
Visual Studio Magazine11mon
Data Dimensionality Reduction Using a Neural Autoencoder with C#
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
Visual Studio Magazine1y
Data Anomaly Detection Using a Neural Autoencoder with C#
The 9-2-9 autoencoder in the diagram has (9 * 2) + (2 * 9 ... The return value is an array-of-arrays style matrix. Part of the normalized and encoded data is displayed as a sanity check: ...
GitHub1y
M-MAE (Matrix Variational Masked Autoencoder)
Official implementation of Matrix Variational Masked Autoencoder (M-MAE) for ICML 2024 paper "Information Flow in Self-Supervised Learning" (https://arxiv.org/abs ...
Frontiers2y
Single-cell RNA-seq data analysis using graph autoencoders and graph attention networks
The model uses the pretreatment gene expression matrix as input to the feature autoencoder. The feature autoencoder builds ... which takes the trimmed cell diagram as input. The encoder is composed of ...