AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios

5 February 2023

Papers citing "AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios"

12 / 12 papers shown

Title
Efficient Climate Simulation via Machine Learning Method Xin Wang Wei Xue Yilun Han Guangwen Yang AILaw 59 2 0 15 Aug 2022
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 453 2,384 0 18 Oct 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 92 985 0 16 Jul 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 116 90 0 26 Jan 2020
Towards Understanding the Spectral Bias of Deep Learning Yuan Cao Zhiying Fang Yue Wu Ding-Xuan Zhou Quanquan Gu 87 217 0 03 Dec 2019
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families Yibo Yang Jianlong Wu Hongyang Li Xia Li Tiancheng Shen Zhouchen Lin OOD 36 21 0 23 Nov 2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 198 2,108 0 08 Oct 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 205 224 0 29 Sep 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks Zhi-Qin John Xu Yaoyu Zhang Yaoyu Zhang Yan Xiao Zheng Ma 119 512 0 19 Jan 2019
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 192 1,270 0 04 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 334 5,081 0 19 Jun 2018
Multi-level Residual Networks from Dynamical Systems View B. Chang Lili Meng E. Haber Frederick Tung David Begert 74 172 0 27 Oct 2017