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Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics

9 October 2019

Brian R. Hunt

Papers citing "Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics"

29 / 29 papers shown

Title
Reservoir Network with Structural Plasticity for Human Activity Recognition Abdullah M. Zyarah Alaa M. Abdul-Hadi Dhireesha Kudithipudi 164 3 0 01 Mar 2025
State-space models are accurate and efficient neural operators for dynamical systems Zheyuan Hu Nazanin Ahmadi Daryakenari Qianli Shen Kenji Kawaguchi George Karniadakis Mamba AI4CE 219 17 0 28 Jan 2025
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 249 8 0 24 Sep 2024
Machine Learning for Predicting Chaotic Systems Christof Schötz Alistair J R White Maximilian Gelbrecht Niklas Boers AI4CE 80 4 0 29 Jul 2024
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius Junjie Jiang Y. Lai 65 105 0 10 Oct 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 91 2,131 0 27 May 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 254 1,660 0 28 Dec 2018
Exascale Deep Learning for Climate Analytics Thorsten Kurth Sean Treichler Josh Romero M. Mudigonda Nathan Luehr ... Michael A. Matheson J. Deslippe M. Fatica P. Prabhat Michael Houston BDL 87 264 0 03 Oct 2018
Reservoir Computing Universality With Stochastic Inputs Lukas Gonon Juan-Pablo Ortega 69 111 0 07 Jul 2018
Echo state networks are universal Lyudmila Grigoryeva Juan-Pablo Ortega 86 232 0 03 Jun 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 87 530 0 18 Apr 2018
World Models David R Ha Jürgen Schmidhuber SyDa 166 1,102 0 27 Mar 2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model Jaideep Pathak Alexander Wikner Rebeckah K. Fussell Sarthak Chandra Brian Hunt M. Girvan Edward Ott 61 290 0 09 Mar 2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks Pantelis R. Vlachas Wonmin Byeon Z. Y. Wan T. Sapsis Petros Koumoutsakos AI4TS 97 475 0 21 Feb 2018
Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation P. Antonik M. Haelterman Serge Massar 76 42 0 06 Feb 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 83 1,261 0 27 Dec 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs Li Jing Yichen Shen T. Dubček J. Peurifoy S. Skirlo Yann LeCun Max Tegmark Marin Soljacic 95 178 0 15 Dec 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 225 5,089 0 05 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations David M. Krueger Tegan Maharaj János Kramár Mohammad Pezeshki Nicolas Ballas Nan Rosemary Ke Anirudh Goyal Yoshua Bengio Aaron Courville C. Pal 92 318 0 03 Jun 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 435 18,361 0 27 May 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 198 1,651 0 16 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Unitary Evolution Recurrent Neural Networks Martín Arjovsky Amar Shah Yoshua Bengio ODL 86 771 0 20 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 572 8,017 0 13 Jun 2015
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 140 5,320 0 13 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,433 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 610 12,760 0 11 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,414 0 03 Jun 2014
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 224 5,362 0 21 Nov 2012