Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Chen, Haoxuan"'
Diffusion models have become a leading method for generative modeling of both image and scientific data. As these models are costly to train and evaluate, reducing the inference cost for diffusion models remains a major goal. Inspired by the recent e
Externí odkaz:
http://arxiv.org/abs/2405.15986
Autor:
Chen, Haoxuan, Ying, Lexing
Sampling from a multimodal distribution is a fundamental and challenging problem in computational science and statistics. Among various approaches proposed for this task, one popular method is Annealed Importance Sampling (AIS). In this paper, we pro
Externí odkaz:
http://arxiv.org/abs/2401.15645
This paper studies the use of a machine learning-based estimator as a control variate for mitigating the variance of Monte Carlo sampling. Specifically, we seek to uncover the key factors that influence the efficiency of control variates in reducing
Externí odkaz:
http://arxiv.org/abs/2305.16527
Autor:
Li, Zongyi, Zheng, Hongkai, Kovachki, Nikola, Jin, David, Chen, Haoxuan, Liu, Burigede, Azizzadenesheli, Kamyar, Anandkumar, Anima
In this paper, we propose physics-informed neural operators (PINO) that combine training data and physics constraints to learn the solution operator of a given family of parametric Partial Differential Equations (PDE). PINO is the first hybrid approa
Externí odkaz:
http://arxiv.org/abs/2111.03794
In this paper, we study the statistical limits of deep learning techniques for solving elliptic partial differential equations (PDEs) from random samples using the Deep Ritz Method (DRM) and Physics-Informed Neural Networks (PINNs). To simplify the p
Externí odkaz:
http://arxiv.org/abs/2110.06897
Autor:
Niu, Muchuan, Chen, Haoxuan, Liu, Jonathan, Tseng, Chi-hong, Shin, John, Hoftman, Nir, Zhu, Yifang
Publikováno v:
In Journal of Building Engineering 1 May 2024 84
Publikováno v:
In Journal of Environmental Sciences February 2024 136:292-300
Autor:
Liu, Xinrui, Wang, Xue, Chen, Haoxuan, Chen, Kaixi, Mo, Weiyi, Yuan, Yanqi, Zhu, Jiang, Wang, Ruili, Zhang, Shuoxin
Publikováno v:
In Ecological Indicators October 2023 154
Autor:
Yang, Siqi, Zhang, Li, Guo, Jing, Qi, Jianchuan, Li, Nan, Cao, Yi, Chen, Haoxuan, Huang, Yuanyi, Xu, Ming
Publikováno v:
In Resources, Conservation & Recycling October 2023 197
Akademický článek
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