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Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

29 February 2024
Ruijia Niu
D. Wu
Kai Kim
Yi-An Ma
D. Watson‐Parris
Rose Yu
    AI4CE
ArXivPDFHTML

Papers citing "Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling"

6 / 6 papers shown
Title
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Bohan Lyu
Yadi Cao
Duncan Watson-Parris
Leon Bergen
Taylor Berg-Kirkpatrick
Rose Yu
61
3
0
01 Nov 2024
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
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
Infinite-Fidelity Coregionalization for Physical Simulation
Infinite-Fidelity Coregionalization for Physical Simulation
Shibo Li
Z. Wang
Robert M. Kirby
Shandian Zhe
AI4CE
18
6
0
01 Jul 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
68
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
291
0
02 Oct 2012
1