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Disentangled Multi-Fidelity Deep Bayesian Active Learning

Disentangled Multi-Fidelity Deep Bayesian Active Learning

7 May 2023
D. Wu
Ruijia Niu
Matteo Chinazzi
Yi-An Ma
Rose Yu
    AI4CE
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Papers citing "Disentangled Multi-Fidelity Deep Bayesian Active Learning"

5 / 5 papers shown
Title
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
40
0
0
15 Oct 2024
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE Solvers
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
45
4
0
02 Aug 2024
Batch Multi-Fidelity Active Learning with Budget Constraints
Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li
J. M. Phillips
Xin Yu
Robert M. Kirby
Shandian Zhe
75
15
0
23 Oct 2022
Multi-fidelity regression using artificial neural networks: efficient
  approximation of parameter-dependent output quantities
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities
Mengwu Guo
Andrea Manzoni
Maurice Amendt
Paolo Conti
J. Hesthaven
70
95
0
26 Feb 2021
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
86
292
0
02 Oct 2012
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