Lyudmila Grigoryeva

33 papers A* 1Journal 29Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Memory Capacity of Nonlinear Recurrent Networks: Is It Informative?
GSI (3)
Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2025 J jnl
Memory Capacity of Nonlinear Recurrent Networks: Is it Informative?
CoRR
Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2025 J jnl
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers.
SIAM J. Sci. Comput.
Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2025 J jnl
Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations.
CoRR
Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2024 J jnl
Infinite-dimensional next-generation reservoir computing.
CoRR
Lyudmila Grigoryeva, Hannah Lim Jing Ting, Juan-Pablo Ortega
2024 J jnl
Infinite-dimensional reservoir computing.
Neural Networks
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2024 J jnl
Memory of recurrent networks: Do we compute it right?
J. Mach. Learn. Res.
Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2024 J jnl
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers.
CoRR
Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2024 A* conf
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks.
NeurIPS
Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2024 J jnl
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks.
CoRR
Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2023 J jnl
Infinite-dimensional reservoir computing.
CoRR
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2023 J jnl
Memory of recurrent networks: Do we compute it right?
CoRR
Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
2022 J jnl
Discrete-Time Signatures and Randomness in Reservoir Computing.
IEEE Trans. Neural Networks Learn. Syst.
Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann
2022 J jnl
Reservoir kernels and Volterra series.
CoRR
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2021 J jnl
Learning strange attractors with reservoir systems.
CoRR
Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
2020 J jnl
Approximation Bounds for Random Neural Networks and Reservoir Systems.
CoRR
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2020 J jnl
Dimension reduction in recurrent networks by canonicalization.
CoRR
Lyudmila Grigoryeva, Juan-Pablo Ortega
2020 J jnl
Discrete-time signatures and randomness in reservoir computing.
CoRR
Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann
2020 J jnl
Memory and forecasting capacities of nonlinear recurrent networks.
CoRR
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2019 J jnl
Differentiable reservoir computing.
CoRR
Lyudmila Grigoryeva, Juan-Pablo Ortega
2019 J jnl
Differentiable reservoir computing.
J. Mach. Learn. Res.
Lyudmila Grigoryeva, Juan-Pablo Ortega
2019 J jnl
Risk bounds for reservoir computing.
CoRR
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
2018 J jnl
Echo state networks are universal.
CoRR
Lyudmila Grigoryeva, Juan-Pablo Ortega
2018 J jnl
Echo state networks are universal.
Neural Networks
Lyudmila Grigoryeva, Juan-Pablo Ortega
2018 J jnl
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems.
J. Mach. Learn. Res.
Lyudmila Grigoryeva, Juan-Pablo Ortega
2017 J jnl
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems.
CoRR
Lyudmila Grigoryeva, Juan-Pablo Ortega
2016 J jnl
Estimation and empirical performance of non-scalar dynamic conditional correlation models.
Comput. Stat. Data Anal.
Luc Bauwens, Lyudmila Grigoryeva, Juan-Pablo Ortega
2016 J jnl
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals.
Neural Comput.
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2016 — conf
Reservoir Computing: Information Processing of Stationary Signals.
CSE/EUC/DCABES
Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega
2016 — conf
Time-Delay Reservoir Computers and High-Speed Information Processing Capacity.
CSE/EUC/DCABES
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2015 J jnl
Forecasting, filtering, and reconstruction of stochastic stationary signals using discrete-time reservoir computers.
CoRR
Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega
2015 J jnl
Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals.
CoRR
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2014 J jnl
Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality.
Neural Networks
Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega