Zobrazeno 1 - 10
of 1 159
pro vyhledávání: '"Zhao Hongli"'
We propose a data-driven approach for propagating uncertainty in stochastic power grid simulations and apply it to the estimation of transmission line failure probabilities. A reduced-order equation governing the evolution of the observed line energy
Externí odkaz:
http://arxiv.org/abs/2401.02555
We introduce a data-driven and physics-informed framework for propagating uncertainty in stiff, multiscale random ordinary differential equations (RODEs) driven by correlated (colored) noise. Unlike systems subjected to Gaussian white noise, a determ
Externí odkaz:
http://arxiv.org/abs/2312.10243
Autor:
Zhao, Hongli, Tartakovsky, Daniel M.
Discovery of mathematical descriptors of physical phenomena from observational and simulated data, as opposed to from the first principles, is a rapidly evolving research area. Two factors, time-dependence of the inputs and hidden translation invaria
Externí odkaz:
http://arxiv.org/abs/2309.05117
Fueled by the expressive power of deep neural networks, normalizing flows have achieved spectacular success in generative modeling, or learning to draw new samples from a distribution given a finite dataset of training samples. Normalizing flows have
Externí odkaz:
http://arxiv.org/abs/2305.02460
We propose the tensorizing flow method for estimating high-dimensional probability density functions from the observed data. The method is based on tensor-train and flow-based generative modeling. Our method first efficiently constructs an approximat
Externí odkaz:
http://arxiv.org/abs/2212.00759
Autor:
Zhao, Hongli, Qin, Fangcheng, Jiang, Jixun, Cui, Yuxin, Wang, Hengxing, Kang, Yuehua, Zhang, Lianming
Publikováno v:
In Materials Today Communications December 2024 41
Publikováno v:
In Applied Soft Computing December 2024 167 Part B
Publikováno v:
In Journal of Chromatography A 8 November 2024 1736
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In Applied Surface Science 1 November 2024 672
Publikováno v:
In Journal of Solid State Chemistry November 2024 339