IEEE

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder With Input Convex Neural Networks

Abstract: In neural architecture search (NAS) methods based on latent space optimization (LSO), a deep generative model is trained to embed discrete neural architectures into a continuous latent space ...
IEEE

DEAE: Diffusion-Enhanced Autoencoder Network for Unsupervised Nonlinear Hyperspectral Unmixing

Abstract: Hyperspectral unmixing (HU) aims to decompose mixed pixels into their constituent spectral signatures and estimate their corresponding fractional abundances. Recently, the nonlinear spectral ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

Inputs: describes all the raw inputs to run the code Code description: describes the python code and how to run it Code to figure mapping: provides mapping of figures in the paper to code used to ...
GitHub

Configure Panorama Address Objects

A CLI tool that creates IP-netmask address objects on Palo Alto Networks Panorama using the pan-os-python SDK. Address objects are defined in YAML configuration files organized by device group, ...
Network World

Telnet vulnerability opens door to remote code execution as root

A critical Telnet vulnerability with a CVSS rating of 9.8 enables attackers to take full control of affected systems before authentication even kicks in, security researchers at Dream Security have ...