Scientific Research Publishing

Shlomi, J., Battaglia, P. and Vlimant, J.-R. (2020) Graph Neural Networks in Particle Physics. Machine Learning: Science and Technology, 2, Article 021001.

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
IEEE

Particle Swarm Optimization for Automated Design of Reversible Residual Neural Networks for Turntable Servo Systems

Abstract: The reversible residual neural network (RRNN) model is a bidirectional neural network model, which has recently gained attention in the design of various control methods in turntable servo ...
GitHub

Scalable Neural Network-based Blackbox Optimization

This repository provides implementation for SNBO (Scalable Neural Network-based Blackbox Optimization) — a novel method for efficient blackbox optimization using neural networks. It also includes code ...