IEEE

A Novel Temporal Variational Autoencoder Network based Process Monitoring Method for Large-Scale Industrial Processes

Abstract: Large-scale industrial processes are characterized by complex reaction mechanisms and strong correlation among operational units, which makes it more difficult to extract the temporal ...
BBC

Distance-time graphs

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
GitHub

Data Mining Lab 2020: The Variational Fair Autoencoder

This repository contains a pytorch (+ pytorch_lightning) implementation of the Variational Fair Autoencoder (VFAE) as proposed in "The Variational Fair Autoencoder". The code was written in order to ...
IEEE

GraphMind: Context-Aware Multi-Agent Systems With Graph Attention Autoencoder and Large Language Model Integration

In recent years, integrating large language models (LLMs) with multi-agent systems has shown promise in improving the quality and coherence of automated conversations. However, managing the context ...