Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

27 October 2017

Papers citing "Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations"

24 / 124 papers shown

Title
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 24 138 0 12 Oct 2019
Neural Dynamics on Complex Networks Chengxi Zang Fei Wang AI4CE 35 68 0 18 Aug 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 35 122 0 23 Jun 2019
ANODEV2: A Coupled Neural ODE Evolution Framework Tianjun Zhang Z. Yao A. Gholami Kurt Keutzer Joseph E. Gonzalez George Biros Michael W. Mahoney 22 41 0 10 Jun 2019
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning Yufei Wang Ziju Shen Zichao Long Bin Dong AI4CE PINN 19 40 0 27 May 2019
Neural ODEs with stochastic vector field mixtures Niall Twomey Michał Kozłowski Raúl Santos-Rodríguez 19 4 0 23 May 2019
Recurrent Neural Networks in the Eye of Differential Equations M. Niu L. Horesh I. Chuang AI4TS 23 31 0 29 Apr 2019
IMEXnet: A Forward Stable Deep Neural Network E. Haber Keegan Lensink Eran Treister Lars Ruthotto 36 40 0 06 Mar 2019
Towards Robust ResNet: A Small Step but A Giant Leap Jingfeng Zhang Bo Han L. Wynter K. H. Low Mohan Kankanhalli 24 41 0 28 Feb 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs A. Gholami Kurt Keutzer George Biros 30 166 0 27 Feb 2019
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data Haimiao Zhang Bin Dong Baodong Liu MedIm 21 21 0 03 Dec 2018
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 31 543 0 30 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 37 618 0 02 Nov 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 30 62 0 26 Sep 2018
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 39 3,608 0 09 Aug 2018
A Mean-Field Optimal Control Formulation of Deep Learning Weinan E Jiequn Han Qianxiao Li OOD 14 183 0 03 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 110 4,960 0 19 Jun 2018
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations Marco Ciccone Marco Gallieri Jonathan Masci Christian Osendorfer Faustino J. Gomez 32 56 0 19 Apr 2018
Functional Gradient Boosting based on Residual Network Perception Atsushi Nitanda Taiji Suzuki 25 25 0 25 Feb 2018
Convolutional Neural Networks combined with Runge-Kutta Methods Mai Zhu Bo Chang Chong Fu AI4CE 43 52 0 24 Feb 2018
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems M. Raissi P. Perdikaris George Karniadakis PINN 29 266 0 04 Jan 2018
Reversible Architectures for Arbitrarily Deep Residual Neural Networks B. Chang Lili Meng E. Haber Lars Ruthotto David Begert E. Holtham AI4CE 36 261 0 12 Sep 2017
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 108 1,157 0 04 Mar 2015