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Golem: An algorithm for robust experiment and process optimization

Golem: An algorithm for robust experiment and process optimization

5 March 2021
Matteo Aldeghi
Florian Hase
Riley J. Hickman
Isaac Tamblyn
Alán Aspuru-Guzik
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Papers citing "Golem: An algorithm for robust experiment and process optimization"

6 / 6 papers shown
Title
ENTMOOT: A Framework for Optimization over Ensemble Tree Models
ENTMOOT: A Framework for Optimization over Ensemble Tree Models
Alexander Thebelt
Jan Kronqvist
Miten Mistry
Robert M. Lee
Nathan Sudermann-Merx
Ruth Misener
44
55
0
10 Mar 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
Lukas P. Frohlich
Edgar D. Klenske
Julia Vinogradska
Christian Daniel
Melanie Zeilinger
75
36
0
07 Feb 2020
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring
  the Chemical Space
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam
Pascal Friederich
Mario Krenn
Alán Aspuru-Guzik
AI4CE
35
131
0
25 Sep 2019
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
75
1,759
0
08 Jul 2018
Dealing with Integer-valued Variables in Bayesian Optimization with
  Gaussian Processes
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes
E.C. Garrido-Merchán
Daniel Hernández-Lobato
77
228
0
12 Jun 2017
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
114
2,911
0
07 Oct 2016
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