Lyudmila Grigoryeva

Orcid: 0000-0002-4857-7779

According to our database1, Lyudmila Grigoryeva authored at least 19 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Infinite-dimensional reservoir computing.
Neural Networks, 2024

Memory of recurrent networks: Do we compute it right?
J. Mach. Learn. Res., 2024

Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers.
CoRR, 2024

2022
Discrete-Time Signatures and Randomness in Reservoir Computing.
IEEE Trans. Neural Networks Learn. Syst., 2022

Reservoir kernels and Volterra series.
CoRR, 2022

2021
Learning strange attractors with reservoir systems.
CoRR, 2021

2020
Dimension reduction in recurrent networks by canonicalization.
CoRR, 2020

Memory and forecasting capacities of nonlinear recurrent networks.
CoRR, 2020

Approximation Bounds for Random Neural Networks and Reservoir Systems.
CoRR, 2020

2019
Differentiable reservoir computing.
J. Mach. Learn. Res., 2019

Risk bounds for reservoir computing.
CoRR, 2019

2018
Echo state networks are universal.
Neural Networks, 2018

Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems.
J. Mach. Learn. Res., 2018

2016
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals.
Neural Comput., 2016

Estimation and empirical performance of non-scalar dynamic conditional correlation models.
Comput. Stat. Data Anal., 2016

Reservoir Computing: Information Processing of Stationary Signals.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

Time-Delay Reservoir Computers and High-Speed Information Processing Capacity.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

2015
Forecasting, filtering, and reconstruction of stochastic stationary signals using discrete-time reservoir computers.
CoRR, 2015

2014
Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality.
Neural Networks, 2014


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