GitHub

Variational Autoencoder (VAE) for Image Classification

This project focuses on learning useful representations from unlabelled data for downstream tasks, specifically categorizing images into one of N categories using Variational Autoencoders (VAE). The ...
GitHub

Autoencoder Reconstruction of Mixed MNIST and CIFAR-10 Images

In this project, we explore the use of autoencoders, a fundamental technique in deep learning, to reconstruct images from two distinct datasets: MNIST and CIFAR-10. The objective is to create an ...
IEEE

Design of a Novel Explainable Adversarial Autoencoder Model for the Electromagnetic Analysis of Functional Materials Based on Physics-Informed Learning

Abstract: Machine learning models have found their applications in solving problems that can traditionally handle ordinary or partial differential equations. The full-wave simulations solve such ...
IEEE

Contrastive Semantic-Aware Masked Autoencoder for Point Cloud Self-Supervised Learning

Abstract: Masked Autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level ...
C&EN

Adaptive Temporal–Spatial Pyramid Variational Autoencoder Model for Multirate Dynamic Chemical Process Soft Sensing Application

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
marktechpost

This AI Paper Introduces MAETok: A Masked Autoencoder-Based Tokenizer for Efficient Diffusion Models

Diffusion models generate images by progressively refining noise into structured representations. However, the computational cost associated with these models remains a key challenge, particularly ...
Frontiers

Graph-informed convolutional autoencoder to classify brain responses during sleep

1 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran 2 College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, United Kingdom ...