IEEE

Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components

Abstract: Quantization allows physical signals to be processed using digital devices. Quantizers are commonly implemented using analog-to-digital converters (ADCs), which operate in a serial and ...
IEEE

Nonparametric Probabilistic Forecasting for Wind Power Generation Using Quadratic Spline Quantile Function and Autoregressive Recurrent Neural Network

Abstract: Compared with commonly-used point forecasting, probabilistic forecasting provides quantitative information on the uncertainty associated with wind power output. However, most studies focus ...
GitHub

Discrete Diffusion Schrödinger Bridge Matching

This code was tested with PyTorch 2.0.1, cuda 11.8 and torch_geometrics 2.3.1. Note that ${PROJECT_DIR} refers to this directory. The following section outlines the graph-to-graph transformation ...
GitHub

Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks

This software was created by William Marsh Rice University under Army Research Office (ARO) Award Number W911NF-24-2-0008 and W911NF-19-2-0269. ARO, as the Federal awarding agency, reserves a ...