Next Generation Reservoir Computing

14 June 2021

Papers citing "Next Generation Reservoir Computing"

49 / 99 papers shown

Title
Digital twins of nonlinear dynamical systems: A perspective Ying-Cheng Lai AI4CE 17 4 0 20 Sep 2023
Learning noise-induced transitions by multi-scaling reservoir computing Zequn Lin Zhaofan Lu Zengru Di Ying Tang 30 4 0 11 Sep 2023
Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics Apimuk Sornsaeng Ninnat Dangniam Thiparat Chotibut 29 8 0 28 Aug 2023
Probabilistic load forecasting with Reservoir Computing Michele Guerra Simone Scardapane F. Bianchi BDL 21 3 0 24 Aug 2023
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning Heng Zhang Danilo Vasconcellos Vargas AI4CE 27 17 0 27 Jul 2023
Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing Alexander Haluszczynski Daniel Köglmayr Christoph Räth 14 4 0 14 Jul 2023
Controlling Chaotic Maps using Next-Generation Reservoir Computing Robert M Kent W. A. S. Barbosa D. Gauthier 29 13 0 07 Jul 2023
Analogue and Physical Reservoir Computing Using Water Waves I. Maksymov 24 16 0 15 Jun 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 30 30 0 22 May 2023
Inferring Attracting Basins of Power System with Machine Learning Yao Du Qing Li Huawei Fan Mengyuan Zhan Jinghua Xiao Xingang Wang 28 5 0 20 May 2023
Reservoir Computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems Cheng Fang Yubin Lu Ting Gao Jinqiao Duan 33 4 0 01 May 2023
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence T. A. Smith S. Penny Jason A. Platt Tse-Chun Chen 22 5 0 28 Apr 2023
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting W. A. Misba Harindra S. Mavikumbure M. Rajib Daniel L. Marino Victor Cobilean Milos Manic J. Atulasimha 11 1 0 06 Apr 2023
Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead Sarah E. Marzen P. Riechers James P. Crutchfield 44 2 0 25 Mar 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 32 124 0 18 Mar 2023
Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays Xing-Yue Duan Xiong Ying Siyang Leng Jürgen Kurths Wei Lin Huanfei Ma 14 21 0 16 Mar 2023
Model scale versus domain knowledge in statistical forecasting of chaotic systems W. Gilpin AI4TS 38 16 0 13 Mar 2023
Machine Learning Enhanced Hankel Dynamic-Mode Decomposition Chris Curtis D. J. Alford-Lago Erik Bollt Andrew Tuma 19 9 0 11 Mar 2023
Lost in Algorithms A. Sloss 19 0 0 02 Jan 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 28 10 0 15 Dec 2022
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data: A Koopman Operator Approach S. Sinha S. Nandanoori D. Barajas-Solano 18 4 0 10 Dec 2022
Emergence of a stochastic resonance in machine learning Zheng-Meng Zhai Ling-Wei Kong Y. Lai 8 3 0 15 Nov 2022
Catch-22s of reservoir computing Yuanzhao Zhang Sean P. Cornelius 21 11 0 18 Oct 2022
Digital twins of nonlinear dynamical systems Ling-Wei Kong Yang Weng Bryan Glaz Mulugeta Haile Y. Lai 14 2 0 05 Oct 2022
Learning unseen coexisting attractors D. Gauthier Ingo Fischer André Röhm 27 22 0 28 Jul 2022
Smart Application for Fall Detection Using Wearable ECG & Accelerometer Sensors Harry Wixley 19 0 0 28 Jun 2022
Using Connectome Features to Constrain Echo State Networks Jacob Morra M. Daley 29 4 0 05 Jun 2022
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training A. Paul Stefan Sylvius Wagner Anup Das 36 8 0 26 May 2022
Exploring the limits of multifunctionality across different reservoir computers Andrew Flynn O. Heilmann Daniel Köglmayr V. Tsachouridis Christoph Räth Andreas Amann 33 4 0 23 May 2022
Time Shifts to Reduce the Size of Reservoir Computers T. Carroll Joseph D. Hart 12 16 0 03 May 2022
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing W. A. S. Barbosa D. Gauthier 25 32 0 24 Mar 2022
Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs Gianluca Fabiani Evangelos Galaris L. Russo Constantinos Siettos 6 29 0 10 Mar 2022
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification Lorenzo Chicchi Duccio Fanelli Lorenzo Giambagli L. Buffoni T. Carletti 14 4 0 09 Feb 2022
Imposing Connectome-Derived Topology on an Echo State Network Jacob Morra M. Daley 37 4 0 23 Jan 2022
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 38 33 0 21 Jan 2022
`Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form Tse-Chun Chen S. Penny T. A. Smith Jason A. Platt 60 1 0 13 Jan 2022
Optimizing Memory in Reservoir Computers T. Carroll 17 33 0 05 Jan 2022
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics Enea Monzio Compagnoni Anna Scampicchio Luca Biggio Antonio Orvieto Thomas Hofmann Josef Teichmann 29 11 0 02 Jan 2022
Neural Echo State Network using oscillations of gas bubbles in water I. Maksymov A. Pototsky S. Suslov 11 12 0 22 Dec 2021
Chronological Causal Bandits Neil Dhir 18 0 0 03 Dec 2021
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks Mirko Goldmann C. Mirasso Ingo Fischer Miguel C. Soriano AI4CE 32 7 0 05 Nov 2021
Master memory function for delay-based reservoir computers with single-variable dynamics F. Köster S. Yanchuk K. Lüdge 34 5 0 28 Aug 2021
Learning strange attractors with reservoir systems Lyudmila Grigoryeva Allen G. Hart Juan-Pablo Ortega 16 25 0 11 Aug 2021
Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations Georg Gottwald Sebastian Reich AI4CE 46 37 0 08 Aug 2021
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing André Röhm D. Gauthier Ingo Fischer 58 39 0 06 Aug 2021
A Framework for Machine Learning of Model Error in Dynamical Systems Matthew E. Levine Andrew M. Stuart 27 67 0 14 Jul 2021
Symmetry-Aware Reservoir Computing W. A. S. Barbosa Aaron Griffith G. Rowlands L. Govia G. Ribeill M. Nguyen T. Ohki D. Gauthier 11 12 0 30 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 241 2,298 0 18 Oct 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems Alexander Wikner Jaideep Pathak Brian Hunt M. Girvan T. Arcomano I. Szunyogh Andrew Pomerance Edward Ott AI4CE 64 70 0 10 Feb 2020