ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.05841
  4. Cited By
Rapid Bayesian optimisation for synthesis of short polymer fiber
  materials

Rapid Bayesian optimisation for synthesis of short polymer fiber materials

16 February 2018
Cheng Li
David Rubín de Celis Leal
Santu Rana
Sunil R. Gupta
A. Sutti
S. Greenhill
Teo Slezak
Murray Height
Svetha Venkatesh
    AI4CE
ArXivPDFHTML

Papers citing "Rapid Bayesian optimisation for synthesis of short polymer fiber materials"

7 / 7 papers shown
Title
BO-Muse: A human expert and AI teaming framework for accelerated
  experimental design
BO-Muse: A human expert and AI teaming framework for accelerated experimental design
Sunil R. Gupta
A. Shilton
V. ArunKumarA.
S. Ryan
Majid Abdolshah
Hung Le
Santu Rana
Julian Berk
Mahad Rashid
Svetha Venkatesh
42
7
0
03 Mar 2023
Incorporating Expert Prior in Bayesian Optimisation via Space Warping
Incorporating Expert Prior in Bayesian Optimisation via Space Warping
Anil Ramachandran
Sunil R. Gupta
Santu Rana
Cheng Li
Svetha Venkatesh
20
36
0
27 Mar 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables
  informed by expert knowledge
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
Florian Hase
Matteo Aldeghi
Riley J. Hickman
L. Roch
Alán Aspuru-Guzik
52
106
0
26 Mar 2020
Autonomous discovery of battery electrolytes with robotic
  experimentation and machine-learning
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning
Adarsh Dave
Jared M. Mitchell
Kirthevasan Kandasamy
S. Burke
Biswajit Paria
Barnabás Póczós
J. Whitacre
V. Viswanathan
46
119
0
22 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat
Brian Karrer
Daniel R. Jiang
Sam Daulton
Benjamin Letham
A. Wilson
E. Bakshy
32
93
0
14 Oct 2019
Accelerating Experimental Design by Incorporating Experimenter Hunches
Accelerating Experimental Design by Incorporating Experimenter Hunches
Cheng Li
Santu Rana
Sunil R. Gupta
Vu Nguyen
Svetha Venkatesh
...
David Rubín de Celis Leal
Teo Slezak
Murray Height
M. Mohammed
I. Gibson
35
33
0
22 Jul 2019
Sampling Acquisition Functions for Batch Bayesian Optimization
Sampling Acquisition Functions for Batch Bayesian Optimization
Alessandro De Palma
Celestine Mendler-Dünner
Thomas Parnell
Andreea Anghel
H. Pozidis
39
13
0
22 Mar 2019
1