Scientific Research Publishing

Variational Auto-Encoder and Speeded-Up Robust Features Hybrid Model for Anomaly Detection and Localization in Video Sequence with Scale Variation ()

Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...
GitHub

AshknMrd/Variational-Auto-Encoder

This repository implements a Variational Autoencoder (VAE) using PyTorch, inspired by the referenced Kaggle project, with the goal of learning a smooth latent representation of images and generating ...
INSPIRE

Design and evaluation of a quantum variational graph auto-encoder using quantum graph neural networks

Quantum Variational Graph Auto-Encoders (QVGAE) represent an integration of graph-based machine learning and quantum computing. In this work, we propose a first-of-its-kind quantum implementation of ...
GitHub

aysha2016/Interpretable-Variational-Encoder-for-MEG-Video-and-Behavioral-Data

Project Overview This project implements a multimodal Interpretable Variational Encoder (IVE) combining MEG signals, video frames, and behavioral covariates into a unified prediction framework. We ...
IEEE

VPIES: Variational Privileged Information Encoder as Scaffold for Legged Locomotion Learning

Abstract: Legged robots face significant challenges in complex terrains due to partial observability. While teacher-student frameworks address this through imitation, they often cause representation ...
EurekAlert!

Exploring variational auto-encoder architectures, configurations, and datasets for generative music explainable AI

Beijing Zhongke Journal Publising Co. Ltd. Music generation is a key use of AI for arts, and is arguably one of the earliest forms of AI art. However, contemporary generative music models rely ...