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 LSTMApplied Energy (Appl. Energy), 2023 Zihao Wang Donghan Yu Zhe Wu 294 1 0 13 Nov 2023
Resurrecting Recurrent Neural Networks for Long SequencesInternational Conference on Machine Learning (ICML), 2023 Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 477 403 0 11 Mar 2023
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks Alan Jeffares Qinghai Guo Pontus Stenetorp Timoleon Moraitis 176 17 0 06 Oct 2021
UnICORNN: A recurrent model for learning very long time dependenciesInternational Conference on Machine Learning (ICML), 2021 T. Konstantin Rusch Siddhartha Mishra 316 72 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 375 825 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 138 15 0 09 Oct 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 277 123 0 22 Jun 2020
Achieving robustness in classification using optimal transport with hinge regularizationComputer Vision and Pattern Recognition (CVPR), 2020 M. Serrurier Franck Mamalet Alberto González Sanz Thibaut Boissin Jean-Michel Loubes E. del Barrio AAML 228 43 0 11 Jun 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 Mahyar Fazlyab Avi Schwarzschild Hamed Hassani M. Morari George J. Pappas 343 511 0 12 Jun 2019
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 335 351 0 13 Nov 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 379 604 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 282 795 0 13 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 421 4,731 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 272 113 0 18 Jan 2018
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning Bolin Gao Lacra Pavel FAtt 356 348 0 03 Apr 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 778 731 0 22 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 617 11,686 0 21 Jul 2016
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton ODL 225 744 0 03 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 1.4K 45,531 0 11 Feb 2015
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.6K 160,594 0 22 Dec 2014