IEEE

Representation Learning With Dual Autoencoder for Multi-Label Classification

Abstract: Multi-label classification aims to deal with the problem that an object may be associated with one or more labels, which is a more difficult task due to the complex nature of multi-label ...
IEEE

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
GitHub

scVAG: Unified Single-Cell Clustering via Variational-Autoencoder Integration with Graph Attention Autoencoder

scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...
BBC

1. A Time of Monsters

4. Fighting for Humanity in the Age of the Machine. 25 November 2025 58 minutes Available for over a year Rutger Bregman's 2025 Reith Lectures, called "Moral Revolution", explore the moral decay and ...
cmu.edu

President's Lecture Series

As we celebrate our 125th year, we do so with a renewed sense of purpose. Guided by our strategic vision and driven by our shared values, we are confident that we will rise to meet this moment and ...