SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima
Discovery in Multi-modal and Non-differentiable Black-box Functions

SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions

18 September 2024

Arpan Biswas

Rama Vasudevan

Rohit Pant

Ichiro Takeuchi

Hiroshi Funakubo

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Papers citing "SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions"

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Title
Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning B. Slautin Yongtao Liu Hiroshi Funakubo Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin 48 7 0 19 Apr 2024
Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities Arpan Biswas Sai Mani Prudhvi Valleti Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin AI4CE 48 3 0 20 Feb 2024
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries B. Slautin Utkarsh Pratiush Ilia N. Ivanov Yongtao Liu Rohit K. Pant Xiaohang Zhang Ichiro Takeuchi M. Ziatdinov Sergei V. Kalinin 58 3 0 03 Feb 2024
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 27 18 0 08 Oct 2023
Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning M. Ziatdinov Yongtao Liu Sergei V. Kalinin 46 10 0 18 Mar 2022
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 56 73 0 23 Nov 2021
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 70 13 0 15 Sep 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 67 72 0 03 Jun 2020
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 256 888 0 06 Nov 2015
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 140 2,449 0 12 Dec 2010