IEEE

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks

Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...
IEEE

Efficient Approximation Algorithms for Several Positive Influence Dominating Set Problems in Social Networks

Abstract: Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to ...
Utah State University

Normal Approximations

If the probability that a randomly selected person will vote in the next election is 0.39, how would we find the probability that more than half of the people in a sample of 1000 will vote? Since the ...
GitHub

HyDia: FHE-based Facial Matching with Hybrid Approximations and Diagonalization

This repository contains the full artifact (code + environment) for our PETS 2025 paper titled "HyDia: FHE-based Facial Matching with Hybrid Approximations and Diagonalization". Follow these steps ...