Next Generation Reservoir Computing

14 June 2021

Papers citing "Next Generation Reservoir Computing"

50 / 99 papers shown

Title
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning Yuanzhao Zhang William Gilpin AI4TS 17 0 0 16 May 2025
On the emergence of numerical instabilities in Next Generation Reservoir Computing Edmilson Roque dos Santos Erik Bollt 31 0 0 01 May 2025
Tailored minimal reservoir computing: on the bidirectional connection between nonlinearities in the reservoir and in data Davide Prosperino Haochun Ma Christoph Räth 25 0 0 24 Apr 2025
All Optical Echo State Network Reservoir Computing Ishwar S Kaushik Peter J. Ehlers Daniel Soh 31 0 0 11 Apr 2025
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime Hend Abdel-Ghani A. H. Abbas I. S. Maksymov 19 1 0 25 Mar 2025
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection Long Tan Le Tung Nguyen Han Shu Suranga Seneviratne Choong Seon Hong Nguyen Tran 45 0 0 14 Mar 2025
Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applications Milan Maksimovic Ivan S. Maksymov 43 0 0 10 Mar 2025
Neuromorphic Quantum Neural Networks with Tunnel-Diode Activation Functions Jake McNaughton A. H. Abbas I. S. Maksymov 51 2 0 06 Mar 2025
Reservoir Network with Structural Plasticity for Human Activity Recognition Abdullah M. Zyarah Alaa M. Abdul-Hadi Dhireesha Kudithipudi 31 3 0 01 Mar 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 85 2 0 28 Jan 2025
Budget-constrained Collaborative Renewable Energy Forecasting Market Carla Goncalves Ricardo J. Bessa Tiago Teixeira Joao Vinagre 24 0 0 21 Jan 2025
Unsupervised learning for anticipating critical transitions Shirin Panahi Ling-Wei Kong Bryan Glaz Mulugeta Haile Y. Lai 30 0 0 02 Jan 2025
Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays Changpeng Ti Usman Hassan Sairam Sri Vatsavai Margaret McCarter Aastha Vasdev ... Barat Achinuq Ulrich Welp Sen-Ching Cheung Ishan G. Thakkar J. Hastings AI4CE 67 0 0 05 Dec 2024
Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing Andrew Shannon Conor Houghton David Barton Martin Homer 23 0 0 07 Nov 2024
Reconstructing dynamics from sparse observations with no training on target system Zheng-Meng Zhai Jun-Yin Huang Benjamin D. Stern Y. Lai 28 1 0 28 Oct 2024
Learning to learn ecosystems from limited data -- a meta-learning approach Zheng-Meng Zhai Bryan Glaz Mulugeta Haile Ying-Cheng Lai 26 1 0 02 Oct 2024
Inferring Kernel $ε$ -Machines: Discovering Structure in Complex Systems Alexandra M. Jurgens Nicolas Brodu CML 28 0 0 01 Oct 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
Data-driven model discovery with Kolmogorov-Arnold networks Mohammadamin Moradi Shirin Panahi Erik M. Bollt Ying-Cheng Lai 31 2 0 23 Sep 2024
Circuit design in biology and machine learning. I. Random networks and dimensional reduction Steven A. Frank AI4CE 20 0 0 18 Aug 2024
A theoretical framework for reservoir computing on networks of organic electrochemical transistors Nicholas W. Landry Beckett R. Hyde Jake C. Perez Sean E. Shaheen Juan G. Restrepo 18 0 0 17 Aug 2024
Predicting Chaotic System Behavior using Machine Learning Techniques Huaiyuan Rao Yichen Zhao Qiang Lai 24 0 0 11 Aug 2024
Machine Learning for Predicting Chaotic Systems Christof Schötz Alistair J R White Maximilian Gelbrecht Niklas Boers AI4CE 36 4 0 29 Jul 2024
Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems James H. Adler Samuel Hocking Xiaozhe Hu Shafiqul Islam AI4CE PINN 16 0 0 25 Jul 2024
Temporal Convolution Derived Multi-Layered Reservoir Computing Johannes Viehweg Dominik Walther Prof. Dr. -Ing. Patrick Mäder AI4TS 22 1 0 09 Jul 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 33 5 0 30 Jun 2024
Recurrent Stochastic Configuration Networks for Temporal Data Analytics Dianhui Wang Gang Dang 29 4 0 21 Jun 2024
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective A. H. Abbas Hend Abdel-Ghani I. S. Maksymov 49 7 0 14 Jun 2024
Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System Abdullah M. Zyarah Dhireesha Kudithipudi AI4TS 19 1 0 22 May 2024
Controlling Chaos Using Edge Computing Hardware Robert M Kent W. A. S. Barbosa Daniel J Gauthier 21 12 0 08 May 2024
Intrinsic Voltage Offsets in Memcapacitive Bio-Membranes Enable High-Performance Physical Reservoir Computing A. S. Mohamed Anur Dhungel Md. Sakib Hasan Joseph S. Najem 24 2 0 27 Apr 2024
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing Sho Kuno Hiroshi Kori 18 0 0 23 Apr 2024
Tree-based Learning for High-Fidelity Prediction of Chaos Adam Giammarese Kamal Rana Erik Bollt Nishant Malik 23 1 0 12 Mar 2024
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems Ravi Chepuri Dael Amzalag Thomas Antonsen M. Girvan 16 9 0 04 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 35 10 0 28 Feb 2024
Chaotic attractor reconstruction using small reservoirs -- the influence of topology Lina Jaurigue AI4TS 18 9 0 23 Feb 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer Md Kowsher Abdul Rafae Khan Jia Xu 32 0 0 14 Feb 2024
Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input Enrico Picco L. Jaurigue Kathy Lüdge Serge Massar 28 1 0 25 Jan 2024
Estimation of AMOC transition probabilities using a machine learning based rare-event algorithm Valérian Jacques-Dumas R. M. Westen Henk A. Dijkstra 18 3 0 19 Jan 2024
Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data I. S. Maksymov 31 5 0 03 Jan 2024
Small jet engine reservoir computing digital twin Colton J. Wright Nicholas Biederman Brian Gyovai Daniel J. Gauthier Jay P. Wilhelm 15 0 0 15 Dec 2023
Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning Daniel Köglmayr Christoph Räth 9 6 0 11 Dec 2023
Quantum-Inspired Neural Network Model of Optical Illusions I. Maksymov 30 9 0 06 Dec 2023
Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir Thomas Geert de Jong Nozomi Akashi Tomohiro Taniguchi Hirofumi Notsu Kohei Nakajima 18 1 0 02 Dec 2023
An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network Roberto C. Budzinski Alexandra N. Busch Samuel Mestern Erwan Martin L. Liboni F. Pasini Ján Mináč Todd Coleman Wataru Inoue L. Muller 17 4 0 28 Nov 2023
Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers Fredy Vides Idelfonso B. R. Nogueira Lendy Banegas Evelyn Flores 15 0 0 16 Nov 2023
Machine-learning parameter tracking with partial state observation Zheng-Meng Zhai Mohammadamin Moradi Bryan Glaz Mulugeta Haile Ying-Cheng Lai 27 7 0 15 Nov 2023
Open-Set Object Recognition Using Mechanical Properties During Interaction Pakorn Uttayopas Xiaoxiao Cheng Etienne Burdet 24 1 0 02 Nov 2023
Dynamic financial processes identification using sparse regressive reservoir computers Fredy Vides Idelfonso B. R. Nogueira Lendy Banegas Evelyn Flores 16 2 0 18 Oct 2023
Model-free tracking control of complex dynamical trajectories with machine learning Zheng-Meng Zhai Mohammadamin Moradi Ling-Wei Kong Bryan Glaz Mulugeta Haile Ying-Cheng Lai 22 35 0 20 Sep 2023