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2003.11939
Cited By

Advances in Bayesian Probabilistic Modeling for Industrial Applications

Advances in Bayesian Probabilistic Modeling for Industrial Applications

26 March 2020

Steven Atkinson

Natarajan Chennimalai-Kumar

Liping Wang

ArXiv (abs)PDF HTML

Papers citing "Advances in Bayesian Probabilistic Modeling for Industrial Applications"

5 / 5 papers shown

Application of probabilistic modeling and automated machine learning
framework for high-dimensional stress field

Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field

Nesar Ramachandra

Anindya Bhaduri

Liping Wang

200

0

0

15 Mar 2023

Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic
Machine Learning

Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning

G. A. Padmanabha

Steven Atkinson

Valeria Andreoli

Liping Wang

234

26

0

17 Aug 2021

Data-based Discovery of Governing Equations

Data-based Discovery of Governing Equations

Liping Wang

91

1

0

05 Dec 2020

Data-Informed Decomposition for Localized Uncertainty Quantification of
Dynamical Systems

Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems

Liping Wang

68

1

0

14 Aug 2020

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian
Processes

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes

Panagiotis Tsilifis

Valeria Andreoli

Liping Wang

290

20

0

05 Aug 2020

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