Next-generation communication networks are expected to exploit recent advances in data science and cutting-edge communications technologies to improve the utilization of the available communications ...

AESTETIK: AutoEncoder for Spatial Transcriptomics Expression with Topology and Image Knowledge This model is part of the paper "Representation learning for multi-modal spatially resolved ...

Convolutional Autoencoder with LSTM for CFD Predictions This repository contains a machine learning model that combines a Convolutional Autoencoder (CAE) and Long-Short Term Memory (LSTM) network to ...

However, most existing autoencoder-based methods only rely on the single autoencoder model, which pose challenges for multi-label feature representations learning and fail to measure similarities ...