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02/14/2023
Adaptive design of experiment via normalizing flows for failure probability estimation
Failure probability estimation problem is an crucial task in engineering...
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08/10/2021
Active Learning for Transition State Calculation
The transition state (TS) calculation is a grand challenge for computati...
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02/21/2021
Inverse Gaussian Process regression for likelihood-free inference
In this work we consider Bayesian inference problems with intractable li...
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11/22/2020
Inferring the unknown parameters in Differential Equation by Gaussian Process Regression with Constraint
Differential Equation (DE) is a commonly used modeling method in various...
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04/13/2020
Explicit Estimation of Derivatives from Data and Differential Equations by Gaussian Process Regression
In this work, we employ the Bayesian inference framework to solve the pr...
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10/11/2019
Maximizing conditional entropy of Hamiltonian Monte Carlo sampler
The performance of Hamiltonian Monte Carlo (HMC) sampler depends critica...
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03/29/2017
