Rational neural networks

4 April 2020

Papers citing "Rational neural networks"

21 / 21 papers shown

Title
Cauchy activation function and XNet Xin Li Zhihong Xia Hongkun Zhang 98 4 0 28 Sep 2024
A deep learning framework for solution and discovery in solid mechanics E. Haghighat M. Raissi A. Moure H. Gómez R. Juanes AI4CE PINN 52 57 0 14 Feb 2020
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks Alejandro Molina P. Schramowski Kristian Kersting ODL 25 79 0 15 Jul 2019
Learning Activation Functions: A new paradigm for understanding Neural Networks Mohit Goyal R. Goyal Brejesh Lall 38 66 0 23 Jun 2019
A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks Joseph Daws Clayton Webster 22 9 0 24 May 2019
Polynomial Regression As an Alternative to Neural Nets Xi Cheng B. Khomtchouk N. Matloff Pete Mohanty 22 81 0 13 Jun 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations M. Raissi PINN AI4CE 90 748 0 20 Jan 2018
Searching for Activation Functions Prajit Ramachandran Barret Zoph Quoc V. Le 47 602 0 16 Oct 2017
Neural networks and rational functions Matus Telgarsky 44 81 0 11 Jun 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 209 2,496 0 08 Jun 2017
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 83 1,002 0 07 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 372 3,201 0 30 Oct 2016
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 57 383 0 13 Oct 2016
Error bounds for approximations with deep ReLU networks Dmitry Yarotsky 123 1,226 0 03 Oct 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 317 18,300 0 27 May 2016
Benefits of depth in neural networks Matus Telgarsky 283 605 0 14 Feb 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 196 5,502 0 23 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 226 13,968 0 19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 279 43,154 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 151 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 678 149,474 0 22 Dec 2014