Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks

15 January 2024

Papers citing "Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks"

20 / 20 papers shown

Title
Real-Time Machine-Learning-Based Optimization Using Input Convex LSTM Zihao Wang Donghan Yu Zhe Wu 74 1 0 13 Nov 2023
Resurrecting Recurrent Neural Networks for Long Sequences Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 228 282 0 11 Mar 2023
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks Alan Jeffares Qinghai Guo Pontus Stenetorp Timoleon Moraitis 46 16 0 06 Oct 2021
UnICORNN: A recurrent model for learning very long time dependencies T. Konstantin Rusch Siddhartha Mishra 49 60 0 09 Mar 2021
Long Range Arena: A Benchmark for Efficient Transformers Yi Tay Mostafa Dehghani Samira Abnar Songlin Yang Dara Bahri Philip Pham J. Rao Liu Yang Sebastian Ruder Donald Metzler 110 706 0 08 Nov 2020
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models E. Zelikman Sharon Zhou Jeremy Irvin Cooper D. Raterink Hao Sheng Anand Avati Jack Kelly Ram Rajagopal A. Ng D. Gagne 38 12 0 09 Oct 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 54 108 0 22 Jun 2020
Achieving robustness in classification using optimal transport with hinge regularization M. Serrurier Franck Mamalet Alberto González Sanz Thibaut Boissin Jean-Michel Loubes E. del Barrio AAML 38 39 0 11 Jun 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 71 451 0 12 Jun 2019
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 63 319 0 13 Nov 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 64 523 0 28 May 2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN Shuai Li W. Li Chris Cook Ce Zhu Yanbo Gao 46 722 0 13 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 151 4,421 0 16 Feb 2018
Overcoming the vanishing gradient problem in plain recurrent networks Yuhuang Hu Adrian E. G. Huber Jithendar Anumula Shih-Chii Liu GNN 52 104 0 18 Jan 2018
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning Bolin Gao Lacra Pavel FAtt 43 304 0 03 Apr 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 262 611 0 22 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 296 10,412 0 21 Jul 2016
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton ODL 63 717 0 03 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 376 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014