Fractional Deep Neural Network via Constrained Optimization

1 April 2020

Papers citing "Fractional Deep Neural Network via Constrained Optimization"

24 / 24 papers shown

Title
Modelling the influence of data structure on learning in neural networks: the hidden manifold model Sebastian Goldt M. Mézard Florent Krzakala Lenka Zdeborová BDL 57 51 0 25 Sep 2019
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography Harbir Antil Z. Di R. Khatri 49 50 0 22 Jul 2019
Deep learning as optimal control problems: models and numerical methods Martin Benning E. Celledoni Matthias Joachim Ehrhardt B. Owren Carola-Bibiane Schönlieb 78 81 0 11 Apr 2019
Layer-Parallel Training of Deep Residual Neural Networks Stefanie Günther Lars Ruthotto J. Schroder E. Cyr N. Gauger 48 90 0 11 Dec 2018
Machine Learning of Space-Fractional Differential Equations Mamikon A. Gulian M. Raissi P. Perdikaris George Karniadakis 58 47 0 02 Aug 2018
Short-term Load Forecasting with Deep Residual Networks Kunjin Chen Kunlong Chen Qin Wang Ziyu He Jun Hu Jinliang He 49 467 0 30 May 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 94 488 0 12 Apr 2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks Dongwook Lee Jaejun Yoo S. Tak J. C. Ye OOD 61 296 0 02 Apr 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 138 3,312 0 24 Feb 2018
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network Qiang Zhang Qiangqiang Yuan Chao Zeng Xinghua Li Yancong Wei 43 317 0 23 Feb 2018
Deep Neural Networks Learn Non-Smooth Functions Effectively Masaaki Imaizumi Kenji Fukumizu 132 124 0 13 Feb 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
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 183 501 0 27 Oct 2017
Stable Architectures for Deep Neural Networks E. Haber Lars Ruthotto 120 727 0 09 May 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 48 1,540 0 03 Apr 2017
Deep Learning for Computational Chemistry Garrett B. Goh Nathan Oken Hodas Abhinav Vishnu AI4CE 69 679 0 17 Jan 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 62 2,118 0 11 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 713 36,708 0 25 Aug 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes X. Gonzalvo Vitaly Kuznetsov M. Mohri Scott Yang 67 285 0 05 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Training Very Deep Networks R. Srivastava Klaus Greff Jürgen Schmidhuber 131 1,677 0 22 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 419 43,234 0 11 Feb 2015
Deep Learning by Scattering S. Mallat Irène Waldspurger 50 14 0 24 Jun 2013
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 169 2,195 0 24 Jun 2012