Reservoir Computing

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Overview

Reservoir computing studies how the evolving states of recurrent systems can encode useful information about time-varying inputs, often without training the recurrent connections. Common approaches include echo state networks with fitted linear readouts, next-generation reservoirs built from delays and nonlinear features, and physical reservoirs based on devices such as photonic, memristive, mechanical, or biological systems. Researchers apply these methods to chaotic-system forecasting, signal classification, control, and scientific modeling, while improving them through changes to topology, timescales, pruning, and online adaptation. A central challenge is balancing memory, stability, and expressive dynamics; for quantum reservoirs in particular, broad advantages over carefully matched classical methods remain unestablished.

Latest papers

CardsList

107 papers10 papers in the last four weeks, down 17% on the four weeks before. 0.1% of all new papers.

  1. Optimal Connectivity of Random Boolean Networks for Reservoir Computing

    Oct 24, 2026Christopher Michael Skeide Vibe, Aliaksandr Hubin, Stefano NicheleReservoir Computing

    Machine Learning Research Group, Østfold University of Applied Sciences, B R A Veien 4, NO-1783 Halden, Norway · Bioinformatics and Applied Statistics, Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Chr. M. Falsens vei 18, NO-1433 Ås, Norway

  2. Sector-Ring Linear Reservoirs: Sector-Wise Decay-Timescale Allocation With State Reuse Across Candidate Settings

    Oct 19, 2026Yudai Ebato, Sou Nobukawa, Yusuke Sakemi +3Reservoir ComputingLinear RNNs

    Graduate School of Information and Computer Science, Chiba Institute of Technology, Narashino, Chiba 275-0016, Japan · Department of Computer Science, Chiba Institute of Technology, Narashino, Chiba 275-0016, Japan · Research Center for Mathematical Engineering, Chiba Institute of Technology, Narashino, Chiba 275-0016, Japan +4

  3. CGDT-CESN: Correlation-Guided and Dynamics-Trained Clustered Echo State Network for Multivariate Time-Series Prediction

    Oct 15, 2026Hariharan Srinivasan, Masoom Bhargava, Sayan GuptaMultivariate Time Series ForecastingTime Series Forecasting

    The Uncertainty Lab, Department of Applied Mechanics & Biomedical Engineering, Indian Institute of Technology Madras, India - 600036 · Center for Complex Systems & Dynamics IIT Madras, India - 600036

  4. Empirical Boundaries of Reservoir Computing for Few-Shot Sequence Pattern Tasks

    Oct 14, 2026Mario Mallea, Angela Nebot, Franscisco MugicaSequence-to-Sequence ModelsReservoir Computing

    Universitat Politècnica de Catalunya - BarcelonaTech, Soft Computing Research Group at the Intelligent Data Science and Artificial Intelligence Research Center, Barcelona, Spain.

  5. Collective Benefits and Efficiency in Coupled Echo State Networks

    Oct 13, 2026Polyphony Bruna, Rick Dale, Michael J. Spivey +1Multi-Agent CoordinationReservoir Computing

    University of California, Merced · University of California, Los Angeles

  6. Analyzing the Dynamics of WSBM-based Echo State Networks using InputDSA

    Oct 11, 2026Huy Mai, Robert ClarkeReservoir ComputingDynamic Neural Networks

    Vietnam National University Ho Chi Minh City, University of Science · University of Bath

  7. Does Learning Recurrent Networks Matter in Partially Observable RL?

    Oct 9, 2026Zekang Wang, Zhe He, Gaojie JinPartially Observable RLPartially Observable Markov Decision Processes

    University of Macau Macau SAR, China

  8. Matching of signal, noise and hardware timescales for filtering and forecasting of correlated noise signals

    Oct 7, 2026Joshua Donald, Alex Gabbitas, Arthur G. T. Coveney +2Reservoir ComputingTime Series Forecasting

    Department of Physics, Loughborough University, Loughborough, LE11 3TU, United Kingdom

  9. A KKL Observer Perspective on Reservoir Computing

    Oct 3, 2026Anastasia Bizyaeva, Fernando Castaños, Jaime A. MorenoReservoir ComputingDynamical Systems

    Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA · Department of Automatic Control, Cinvestav, Mexico · Instituto de Ingenier´ıa, Universidad Nacional Aut´onoma de M´exico, Mexico

  10. Context-dependent time-series prediction via HyperReservoirs

    Sep 28, 2026Kohei Tsuchiyama, Takatomo Mihana, Ryoichi Horisaki +1Time Series ForecastingReservoir Computing

    Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

  11. Uncertainty Quantification of Next Generation Reservoir Computing with Applications to Memory-Driven Dynamical Systems

    Sep 26, 2026Livia Popa, Sumanta Basu, Martin T. WellsUncertainty QuantificationReservoir Computing

    Department of Statistics and Data Science, Cornell University, New York, USA

  12. Benchmarking the Connectomes of Caenorhabditis elegans within the Reservoir Computing Framework

    Sep 24, 2026Felix S. Reimers, Ola Huse Ramstad, Aliaksandr Hubin +1Brain Network AnalysisReservoir Computing

    Department of Computer Science and Communication, Østfold University College, Halden, 1757, Østfold, Norway. · Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, ˚As, 1432, Akershus, Norway. · Department of Mathematics, University of Oslo, Oslo, 0316, Oslo, Norway.

  13. Dynamical Diversity for Reservoir Computing in Reconfigurable Nanomechanics

    Sep 24, 2026Humayun Ahmed, Inês S. Garcia, Filipa C. Mota +7Reservoir Computing

    International Iberian Nanotechnology Laboratory (INL), Braga, 4715-330, Portugal. · Department of Mechanical Engineering, Bilkent University, 06800 Ankara, Turkey · UNAM - Institute of Materials Science and Nanotechnology, Bilkent University, 06800 Ankara, Turkey +2

  14. Inference of Unknown Dynamical Components Using Next Generation Reservoir Computing: From Chaotic Systems to Climate Data

    Sep 21, 2026Jule Budnick, Andrew Keane, Serhiy YanchukNonlinear System IdentificationReservoir Computing

    School of Mathematical Sciences, University College Cork, Cork, Ireland · Potsdam Institute for Climate Impact Research, Potsdam, Germany

  15. Shake to Learn: Dynamic Interrogation of Hidden Object Physics for Robotic Manipulation with Physical Reservoir Computing

    Sep 17, 2026Wen Sin Lor, Jun Wang, Suyi LiRobotic PerceptionRobotic Manipulation

    Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24060, USA · Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA

  16. LoRA-RC: Reservoir Computing with Low-Rank Adaptation

    Sep 11, 2026Wenbin WanOnline Time Series ForecastingDynamical Systems

    Department of Mechanical Engineering, University of New Mexico, Albuquerque, NM 87131, USA

  17. Beyond density snapshots: Dynamical memory in Chern-Simons reservoirs

    Sep 10, 2026Jyotiranjan Beuria, Venkatesh H. ChembroluReservoir Computing

    Center for Philosophical and Cognitive Sciences, ISS Delhi, India · Indian Institute of Technology Mandi, Mandi, India

  18. Photonic reservoir computing with dimensionally compressed readout

    Sep 7, 2026Gerald Kobi, Mohab Abdalla, Miguel C. Soriano +1Reservoir ComputingRandomized Sketching

    Université de Lorraine, CentraleSupélec, LMOPS, F-57000 Metz, France · Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), CSIC–UIB, Campus UIB, E-07122 Palma de Mallorca, Spain

  19. Connectome-to-Function: Conditional Generative Latent Representations for Reservoir Computing

    Sep 5, 2026Zhuolin Yu, Xingyu Liu, Yuanhao Jia +4Graph Representation LearningGraph Generation

    National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China · School of Electronics Engineering and Computer Science, Peking University, Beijing, China · School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China +2

  20. Towards Effective Physical Reservoir Computing with a Pneumatic Soft Robot

    Sep 2, 2026Jeevan Hebbal Manjunath, Jun Wang, Suyi Li +1Reservoir ComputingRobot State Estimation

    School of Manufacturing Systems and Networks, Arizona State University, Mesa, AZ 85212, USA · Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24060, USA

  21. Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing

    Sep 1, 2026Ling-Wei Kong, Ying-Cheng LaiDynamical SystemsReservoir Computing

    Department of Computational Biology, Cornell University, Ithaca, NY 14850, USA · School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA · Department of Physics, Arizona State University, Tempe, Arizona 85287, USA

  22. Prediction of Nonlinear Oscillations in a Jumping Quarter-Car Model Using Reservoir Computing

    Sep 1, 2026Masahisa Watanabe, Shiva Dixit, Nirmal Punetha +2Chaotic Time-Series PredictionVehicle Dynamics

    Division of Environmental and Agricultural Engineering, Institute of Agriculture, Tokyo University of Agriculture and Technology, Tokyo, Japan · Amity Institute of Integrative Sciences and Health, Amity University Haryana - Gurugram, Manesar, 122 413 Haryana, India · Graduate School of Engineering, Nagoya Institute of Technology, Nagoya 466 8555, Japan +1

  23. Memristive-Friendly Hadamard Reservoir Computing: Structured, Multiplier-Free Recurrences at Scale

    Aug 28, 2026Andrea Ceni, Gianluca Milano, Carlo Ricciardi +1Reservoir ComputingNeuromorphic Computing

    Department of Computer Science, University of Pisa, Italy · Istituto Nazionale di Ricerca Metrologica (INRiM), Italy · Department of Applied Science and Technology, Politecnico di Torino, Italy

  24. Asymmetric Coupling Anisotropy for Causal Information Filtering in Physical Reservoirs

    Aug 27, 2026Takashi Hikihara, Yuma AokiReservoir ComputingDynamical Systems

    Kyoto University, Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan · Department of Electrical Engineering, Kyoto University, Kyotodaigaku-katsura, Nishikyo, Kyoto 615-8510, Japan

  25. Task-Resolved Fisher Spectroscopy for Quantum Reservoir Computing

    Aug 26, 2026Yang PengReservoir ComputingQuantum Reservoir Computing

    Department of Physics and Astronomy, California State University, Northridge, California 91330, USA · Institute of Quantum Information and Matter and Department of Physics, California Institute of Technology, Pasadena, California 91125, USA

  26. Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing

    Aug 21, 2026Sara Malacarne, Andrea Ceni, Claudio GallicchioReservoir ComputingHyperparameter Optimization

    Telenor Research & Innovation, Oslo, Norway · Department of Computer Science, University of Pisa, Pisa, Italy

  27. Optically Writable Atomic Vapor Memory as a Substrate for Optical Reservoir Computing

    Aug 18, 2026Elizabeth Robertson, Mingwei Yang, Lina Jaurigue +3Photonic ComputingReservoir Computing

    Institute of Space Research, German Aerospace Center (DLR), Berlin, Germany · Institute of Physics, Technische Universität Berlin, Berlin, Germany · Institut für Physik, Technische Universität Illmenau, Illmenau, Germany +3

  28. A Single Atom in Front of a Mirror is a Universal Reservoir Computer

    Aug 11, 2026Peter J. Ehlers, Phi Hung Nguyen, Kanu Sinha +4Reservoir ComputingUniversal Approximation

    Wyant College of Optical Sciences, University of Arizona, Tucson, AZ, USA · Department of Physics, University of Arizona, Tucson, AZ, USA · School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia

  29. Rethinking Reservoir Pruning: A Dynamical Perspective for Echo State Networks

    Aug 5, 2026Sudip Laudari, Puspa Raj AdhikariDynamic Neural NetworksTime Series Forecasting

    Independent Researcher. · Advanced Materials Science and Engineering, Sungkyunkwan University.

  30. A Low-Cost Hybrid Reservoir Computing Model for Isolated Sign Language Video Recognition

    Aug 4, 2026Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1Reservoir ComputingSign Language Recognition

    Woosong University Kazakhstan, Turkistan City, Kazakhstan · Data Science and Artificial Intelligence Laboratory (DSAIL), Woosong University Kazakhstan, Turkistan City, Kazakhstan · Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu, 808-0196, Japan +2