Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities

20 February 2024

Papers citing "Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities"

4 / 4 papers shown

Title
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy Sergei V. Kalinin Yongtao Liu Arpan Biswas Gerd Duscher Utkarsh Pratiush Kevin M. Roccapriore M. Ziatdinov Rama K Vasudevan 15 18 0 08 Oct 2023
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning Adarsh Dave Jared M. Mitchell S. Burke Hongyi Lin J. Whitacre V. Viswanathan 46 72 0 23 Nov 2021
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels M. Noack G. Doerk Ruipeng Li Jason K. Streit R. Vaia Kevin Yager M. Fukuto 47 71 0 03 Jun 2020
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 131 2,446 0 12 Dec 2010