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Monotonic Gaussian process for physics-constrained machine learning with
  materials science applications

Monotonic Gaussian process for physics-constrained machine learning with materials science applications

31 August 2022
Anh Tran
Kathryn A. Maupin
T. Rodgers
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Monotonic Gaussian process for physics-constrained machine learning with materials science applications"

3 / 3 papers shown
Title
Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
Timothy Proctor
Anh Tran
Xingxin Liu
Aditya Dhumuntarao
Stefan Seritan
Alaina Green
Norbert M Linke
34
0
0
17 Apr 2025
Monotonic warpings for additive and deep Gaussian processes
Monotonic warpings for additive and deep Gaussian processes
Chang Liu
Lauren J. Beesley
Annie S. Booth
Robert B. Gramacy
Yan Zhao
30
2
0
02 Aug 2024
Uncertainty Quantification in Machine Learning for Engineering Design
  and Health Prognostics: A Tutorial
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
38
75
0
07 May 2023
1