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Active learning in open experimental environments: selecting the right
  information channel(s) based on predictability in deep kernel learning

Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning

18 March 2022
M. Ziatdinov
Yongtao Liu
Sergei V. Kalinin
ArXivPDFHTML

Papers citing "Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning"

4 / 4 papers shown
Title
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
Arpan Biswas
Rama Vasudevan
Rohit Pant
Ichiro Takeuchi
Hiroshi Funakubo
Yongtao Liu
29
0
0
18 Sep 2024
Building Workflows for Interactive Human in the Loop Automated
  Experiment (hAE) in STEM-EELS
Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS
Utkarsh Pratiush
Kevin M. Roccapriore
Yongtao Liu
Gerd Duscher
M. Ziatdinov
Sergei V. Kalinin
16
3
0
10 Apr 2024
A dynamic Bayesian optimized active recommender system for
  curiosity-driven Human-in-the-loop automated experiments
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments
Arpan Biswas
Yongtao Liu
Nicole Creange
Yu-Chen Liu
S. Jesse
Jan-Chi Yang
Sergei V. Kalinin
M. Ziatdinov
Rama K Vasudevan
24
5
0
05 Apr 2023
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Mani Valleti
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
19
7
0
25 Mar 2023
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