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Li, Qianxiao
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1

Evolution-guided Bayesian optimization for constrained mult..:

Low, Andre K. Y. ; Mekki-Berrada, Flore ; Gupta, Abhishek...
npj Computational Materials.  10 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Non-intrusive model combination for learning dynamical syst..:

Wu, Shiqi ; Chamoin, Ludovic ; Li, Qianxiao
Physica D: Nonlinear Phenomena.  463 (2024)  - p. 134152 , 2024
Link: https://doi.org/10.1016/..
 
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3

A Recursively Recurrent Neural Network (R2N2) Architecture ..:

Doncevic, Danimir T. ; Mitsos, Alexander ; Guo, Yue...
SIAM Journal on Scientific Computing.  46 (2024)  2 - p. A719-A743 , 2024
Link: https://doi.org/10.1137/..
 
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4

Optimization in Machine Learning: a Distribution-Space Appr..:

Cai, Yongqiang ; Li, Qianxiao ; Shen, Zuowei
Communications on Applied Mathematics and Computation.  6 (2024)  2 - p. 1217-1240 , 2024
Link: https://doi.org/10.1007/..
 
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5

DynGMA: A robust approach for learning stochastic different..:

Zhu, Aiqing ; Li, Qianxiao
Journal of Computational Physics.  513 (2024)  - p. 113200 , 2024
Link: https://doi.org/10.1016/..
 
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6

Correction: Tackling data scarcity with transfer learning: ..:

Parker Tian, Siyu Isaac ; Ren, Zekun ; Venkataraj, Selvaraj...
Digital Discovery.  3 (2024)  5 - p. 1068-1068 , 2024
Link: https://doi.org/10.1039/..
 
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7

Suppression of excitatory synaptic transmission in the cent..:

Zhang, Bei‐Bei ; Ling, Xin‐Yu ; Shen, Qing‐Yi...
The Journal of Physiology.  , 2024
Link: https://doi.org/10.1113/..
 
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8

Computing high-dimensional invariant distributions from noi..:

Lin, Bo ; Li, Qianxiao ; Ren, Weiqing
Journal of Computational Physics.  474 (2023)  - p. 111783 , 2023
Link: https://doi.org/10.1016/..
 
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9

An Annealing Mechanism for Adversarial Training Acceleratio:

Ye, Nanyang ; Li, Qianxiao ; Zhou, Xiao-Yun.
IEEE Transactions on Neural Networks and Learning Systems.  34 (2023)  2 - p. 882-893 , 2023
Link: https://doi.org/10.1109/..
 
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10

Fast Bayesian optimization of Needle-in-a-Haystack problems..:

Siemenn, Alexander E. ; Ren, Zekun ; Li, Qianxiao.
npj Computational Materials.  9 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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11

Forward and Inverse Approximation Theory for Linear Tempora..:

, In: Lecture Notes in Computer Science; Geometric Science of Information,
Jiang, Haotian ; Li, Qianxiao - p. 342-350 , 2023
Link: https://doi.org/10.1007/..
 
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12

On stability and regularization for data-driven solution of..:

Zhang, Mengmeng ; Li, Qianxiao ; Liu, Jijun
Journal of Computational Physics.  474 (2023)  - p. 111769 , 2023
Link: https://doi.org/10.1016/..
 
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13

Tackling data scarcity with transfer learning: a case study..:

Tian, Siyu Isaac Parker ; Ren, Zekun ; Venkataraj, Selvaraj...
Digital Discovery.  2 (2023)  5 - p. 1334-1346 , 2023
Link: https://doi.org/10.1039/..
 
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14

Knowledge-integrated machine learning for materials: lesson..:

Hippalgaonkar, Kedar ; Li, Qianxiao ; Wang, Xiaonan...
Nature Reviews Materials.  8 (2023)  4 - p. 241-260 , 2023
Link: https://doi.org/10.1038/..
 
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15

Constructing custom thermodynamics using deep learning:

Chen, Xiaoli ; Soh, Beatrice W. ; Ooi, Zi-En...
Nature Computational Science.  4 (2023)  1 - p. 66-85 , 2023
Link: https://doi.org/10.1038/..
 
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