Papers citing 'Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems'

Title
ResCP: Reservoir Conformal Prediction for Time Series Forecasting Roberto Neglia Andrea Cini Michael M. Bronstein F. Bianchi AI4TS 161 0 0 06 Oct 2025
A Solvable Molecular Switch Model for Stable Temporal Information Processing H. I. Nurdin C. A. Nijhuis 98 0 0 21 Aug 2025
Stochastic dynamics learning with state-space systems Juan-Pablo Ortega Florian Rossmannek 120 2 0 11 Aug 2025
State-space systems as dynamic generative modelsProceedings of the Royal Society A (Proc. R. Soc. A), 2024 Juan-Pablo Ortega Florian Rossmannek 366 4 0 13 Mar 2025
RandNet-Parareal: a time-parallel PDE solver using Random Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 Guglielmo Gattiglio Lyudmila Grigoryeva M. Tamborrino 229 4 0 09 Nov 2024
Universality of Real Minimal Complexity ReservoirAAAI Conference on Artificial Intelligence (AAAI), 2024 Robert Simon Fong Boyu Li Peter Tiňo 114 3 0 15 Aug 2024
Fading memory and the convolution theoremIEEE Transactions on Automatic Control (TAC), 2024 Juan-Pablo Ortega Florian Rossmannek 373 6 0 14 Aug 2024
Universal randomised signatures for generative time series modelling Francesca Biagini Lukas Gonon Niklas Walter 209 5 0 14 Jun 2024
Stochastic Reservoir Computers Peter J. Ehlers H. Nurdin Daniel Soh 252 10 0 20 May 2024
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts Anastasis Kratsios Haitz Sáez de Ocáriz Borde Takashi Furuya Marc T. Law MoE 475 2 0 05 Feb 2024
Refined Kolmogorov Complexity of Analog, Evolving and Stochastic Recurrent Neural Networks Jérémie Cabessa Y. Strozecki 100 1 0 29 Sep 2023
Gated recurrent neural networks discover attention Nicolas Zucchet Seijin Kobayashi Yassir Akram J. Oswald Maxime Larcher Angelika Steger João Sacramento 195 9 0 04 Sep 2023
Simple Cycle Reservoirs are UniversalJournal of machine learning research (JMLR), 2023 Boyu Li Robert Simon Fong Peter Tivno 187 10 0 21 Aug 2023
Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Lukas Gonon A. Jacquier 266 20 0 24 Jul 2023
Infinite-dimensional reservoir computingNeural Networks (Neural Netw.), 2023 Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega 241 11 0 02 Apr 2023
A Brief Survey on the Approximation Theory for Sequence ModellingJournal of Machine Learning (JML), 2023 Hao Jiang Qianxiao Li Zhong Li Shida Wang AI4TS 232 14 0 27 Feb 2023
Reservoir kernels and Volterra series Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega 259 9 0 30 Dec 2022
Universal Time-Uniform Trajectory Approximation for Random Dynamical Systems with Recurrent Neural Networks A. Bishop 161 1 0 15 Nov 2022
Transport in reservoir computing G. Manjunath Juan-Pablo Ortega 156 7 0 16 Sep 2022
Universality and approximation bounds for echo state networks with random weightsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Zhen Li Yunfei Yang 192 8 0 12 Jun 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)TransformerMathematical Finance (Math. Finance), 2022 Beatrice Acciaio Anastasis Kratsios G. Pammer OOD 361 28 0 31 Jan 2022
Interpretable Design of Reservoir Computing Networks using Realization Theory Wei Miao Vignesh Narayanan Jr-Shin Li 167 6 0 13 Dec 2021
Universal Approximation Under Constraints is Possible with Transformers Anastasis Kratsios Behnoosh Zamanlooy Tianlin Liu Ivan Dokmanić 288 32 0 07 Oct 2021
Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions He Zhang J. Harlim Xiantao Li 316 7 0 21 May 2021
Reservoir Computers Modal Decomposition and Optimization Chad Nathe Enrico Del Frate Thomas L. Carroll L. Pecora A. Shirin F. Sorrentino 47 1 0 13 Jan 2021
Fading memory echo state networks are universal Lukas Gonon Juan-Pablo Ortega 199 69 0 22 Oct 2020
Discrete-time signatures and randomness in reservoir computingIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Christa Cuchiero Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega Josef Teichmann 159 52 0 17 Sep 2020
Dimension reduction in recurrent networks by canonicalizationThe Journal of Geometric Mechanics (J. Geom. Mech.), 2020 Lyudmila Grigoryeva Juan-Pablo Ortega 181 22 0 23 Jul 2020
Memory and forecasting capacities of nonlinear recurrent networks Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega AI4TS 262 27 0 22 Apr 2020
Approximation Bounds for Random Neural Networks and Reservoir SystemsThe Annals of Applied Probability (Ann. Appl. Probab.), 2020 Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega 232 79 0 14 Feb 2020
Temporal Information Processing on Noisy Quantum ComputersPhysical Review Applied (PR Applied), 2020 Jiayin Chen H. Nurdin N. Yamamoto 145 105 0 26 Jan 2020
Risk bounds for reservoir computing Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega 222 46 0 30 Oct 2019
Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State Network Niklas Heim J. Avery 65 20 0 02 Sep 2019
Dynamical Systems as Temporal Feature SpacesJournal of machine learning research (JMLR), 2019 Peter Tiño 282 25 0 15 Jul 2019
Differentiable reservoir computing Lyudmila Grigoryeva Juan-Pablo Ortega 254 46 0 16 Feb 2019
Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems Jiayin Chen H. Nurdin 194 54 0 07 Jan 2019
Reservoir Computing Universality With Stochastic InputsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018 Lukas Gonon Juan-Pablo Ortega 212 124 0 07 Jul 2018
Echo state networks are universal Lyudmila Grigoryeva Juan-Pablo Ortega 283 262 0 03 Jun 2018
Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronisation and cryptography P. Antonik Marvyn Gulina J. Pauwels Serge Massar 143 83 0 08 Feb 2018