Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
IEEE

Multi-Objective Bayesian Optimization for Design of Pareto-Optimal Current Drive Profiles in STEP

Abstract: The safety factor profile is a key property in determining the stability of tokamak plasmas. To design the safety factor profile in the United Kingdom’s proposed Spherical Tokamak for Energy ...
IEEE

High-Throughput Multi-Objective Bayesian Optimization using Gradients

Abstract: When gradient information is available, multi-objective Bayesian optimization (MOBO) algorithm using gradient-enhanced Gaussian process (GradGP) models has been proven to be an efficient ...