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Publication search results
found 80 matches
- 2024
- Xiaoli Chen
, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu
, Kostya S. Novoselov
, Kedar Hippalgaonkar
, Qianxiao Li
:
Constructing custom thermodynamics using deep learning. Nat. Comput. Sci. 4(1): 66-85 (2024) - Danimir T. Doncevic, Alexander Mitsos
, Yue Guo
, Qianxiao Li
, Felix Dietrich
, Manuel Dahmen
, Ioannis G. Kevrekidis:
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. 46(2): 719- (2024) - Jiaxi Zhao, Qianxiao Li:
Mitigating distribution shift in machine learning-augmented hybrid simulation. CoRR abs/2401.09259 (2024) - Aiqing Zhu, Qianxiao Li:
DynGMA: a robust approach for learning stochastic differential equations from data. CoRR abs/2402.14475 (2024) - Zhuotong Chen, Zihu Wang, Yifan Yang, Qianxiao Li, Zheng Zhang:
PID Control-Based Self-Healing to Improve the Robustness of Large Language Models. CoRR abs/2404.00828 (2024) - Fusheng Liu, Qianxiao Li:
From Generalization Analysis to Optimization Designs for State Space Models. CoRR abs/2405.02670 (2024) - Sohei Arisaka, Qianxiao Li:
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving. CoRR abs/2405.02952 (2024) - 2023
- Bo Lin, Qianxiao Li, Weiqing Ren
:
Computing high-dimensional invariant distributions from noisy data. J. Comput. Phys. 474: 111783 (2023) - Mengmeng Zhang, Qianxiao Li, Jijun Liu:
On stability and regularization for data-driven solution of parabolic inverse source problems. J. Comput. Phys. 474: 111769 (2023) - Nanyang Ye
, Qianxiao Li, Xiao-Yun Zhou
, Zhanxing Zhu
:
An Annealing Mechanism for Adversarial Training Acceleration. IEEE Trans. Neural Networks Learn. Syst. 34(2): 882-893 (2023) - Sohei Arisaka, Qianxiao Li:
Principled Acceleration of Iterative Numerical Methods Using Machine Learning. ICML 2023: 1041-1059 - Haotian Jiang, Qianxiao Li, Zhong Li, Shida Wang:
A Brief Survey on the Approximation Theory for Sequence Modelling. CoRR abs/2302.13752 (2023) - Haotian Jiang, Qianxiao Li:
Approximation theory of transformer networks for sequence modeling. CoRR abs/2305.18475 (2023) - Haotian Jiang, Qianxiao Li:
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks. CoRR abs/2305.18478 (2023) - Shida Wang, Zhong Li, Qianxiao Li:
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks. CoRR abs/2305.19190 (2023) - Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li:
Constructing Custom Thermodynamics Using Deep Learning. CoRR abs/2308.04119 (2023) - Jingpu Cheng, Qianxiao Li, Ting Lin, Zuowei Shen:
Interpolation, Approximation and Controllability of Deep Neural Networks. CoRR abs/2309.06015 (2023) - Zhuotong Chen, Qianxiao Li, Zheng Zhang:
Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective. CoRR abs/2311.10223 (2023) - Shida Wang, Qianxiao Li:
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization. CoRR abs/2311.14495 (2023) - 2022
- Zhuotong Chen, Qianxiao Li, Zheng Zhang:
Self-Healing Robust Neural Networks via Closed-Loop Control. J. Mach. Learn. Res. 23: 319:1-319:54 (2022) - Zhong Li, Jiequn Han, Weinan E, Qianxiao Li:
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks. J. Mach. Learn. Res. 23: 42:1-42:85 (2022) - Bo Lin, Qianxiao Li, Weiqing Ren
:
Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning. J. Sci. Comput. 91(3): 77 (2022) - Yue Guo
, Felix Dietrich
, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li:
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. 44(4): 1911- (2022) - Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li:
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality. Trans. Mach. Learn. Res. 2022 (2022) - Zhong Li, Haotian Jiang, Qianxiao Li:
On the approximation properties of recurrent encoder-decoder architectures. ICLR 2022 - Yingtian Zou, Fusheng Liu
, Qianxiao Li:
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate. ICLR 2022 - Zichen Zhao, Qianxiao Li:
Adaptive sampling methods for learning dynamical systems. MSML 2022: 335-350 - Bin Dong, Qianxiao Li, Lei Wang, Zhi-Qin John Xu:
Mathematical and Scientific Machine Learning, 15-17 August 2022, Peking University, Beijing, China. Proceedings of Machine Learning Research 190, PMLR 2022 [contents] - Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li:
Connecting Optimization and Generalization via Gradient Flow Path Length. CoRR abs/2202.10670 (2022) - Sohei Arisaka, Qianxiao Li:
Accelerating numerical methods by gradient-based meta-solving. CoRR abs/2206.08594 (2022)
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