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07/12/2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations
For predictive modeling relying on Bayesian inversion, fully independent...
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02/08/2023
Will ChatGPT get you caught? Rethinking of Plagiarism Detection
The rise of Artificial Intelligence (AI) technology and its impact on ed...
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10/25/2022
Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method
Zimmerman and Weissenburger's flutter margin method is widely used to es...
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10/18/2022
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning
This paper investigates the applicability of a recently-proposed nonline...
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10/17/2022
Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters
We consider state and parameter estimation for a dynamical system having...
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08/23/2022
Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners
Realistic physical phenomena exhibit random fluctuations across many sca...
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12/03/2021
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
In the context of Bayesian inversion for scientific and engineering mode...
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12/18/2020
MOLAM: A Mobile Multimodal Learning Analytics Conceptual Framework to Support Student Self-Regulated Learning
Online distance learning is highly learner-centred, requiring different ...
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08/29/2019
The network uncertainty quantification method for propagating uncertainties in component-based systems
This work introduces the network uncertainty quantification (NetUQ) meth...
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02/17/2018