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Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression


May 14, 2023
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

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* 66 pages, 20 figures, and 6 tables. arXiv admin note: text overlap with arXiv:2207.10442 

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GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs


Apr 07, 2023
Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan

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Convergence Analysis of the Deep Galerkin Method for Weak Solutions


Feb 05, 2023
Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang

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* arXiv admin note: substantial text overlap with arXiv:2107.14478 

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Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks


Jul 21, 2022
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang

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* 44 pages, 10 figures, 6 tables 

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Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning


Apr 14, 2022
Qiuhao Chen, Yuxuan Du, Qi Zhao, Yuling Jiao, Xiliang Lu, Xingyao Wu

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Approximation bounds for norm constrained neural networks with applications to regression and GANs


Jan 24, 2022
Yuling Jiao, Yang Wang, Yunfei Yang

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Wasserstein Generative Learning of Conditional Distribution


Dec 19, 2021
Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang

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* 34 pages, 8 figures 

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Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension


Nov 29, 2021
Yuling Jiao, Dingwei Li, Min Liu, Xiangliang Lu, Yuanyuan Yang

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