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Lyudmila Grigoryeva

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Neural Networks : the Official Journal of the International Neural Network Society|October 15, 2018
Echo state networks are universalLyudmila Grigoryeva, Juan-Pablo Ortega
Physical Review. E|July 17, 2021
Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theoremLyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2025
Reservoir Kernels and Volterra SeriesLukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Neural Networks : the Official Journal of the International Neural Network Society|July 10, 2024
Infinite-dimensional reservoir computingLukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Physical Review. E|April 18, 2025
Infinite-dimensional next-generation reservoir computingLyudmila Grigoryeva, Hannah Lim Jing Ting, Juan-Pablo Ortega
Neural Computation|May 13, 2016
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional SignalsLyudmila Grigoryeva, Julie Henriques, Laurent Larger, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 16, 2014
Stochastic nonlinear time series forecasting using time-delay reservoir computers: performance and universalityLyudmila Grigoryeva, Julie Henriques, Laurent Larger, et al.
Scientific Reports|September 12, 2015
Optimal nonlinear information processing capacity in delay-based reservoir computersLyudmila Grigoryeva, Julie Henriques, Laurent Larger, et al.
Plos One|February 28, 2024
Tracing curves in the plane: Geometric-invariant learning from human demonstrationsSri Harsha Turlapati, Lyudmila Grigoryeva, Juan-Pablo Ortega, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 26, 2021
Discrete-Time Signatures and Randomness in Reservoir ComputingChrista Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|October 15, 2018
Echo state networks are universalLyudmila Grigoryeva, Juan-Pablo Ortega
Physical Review. E|July 17, 2021
Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theoremLyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2025
Reservoir Kernels and Volterra SeriesLukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Neural Networks : the Official Journal of the International Neural Network Society|July 10, 2024
Infinite-dimensional reservoir computingLukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Physical Review. E|April 18, 2025
Infinite-dimensional next-generation reservoir computingLyudmila Grigoryeva, Hannah Lim Jing Ting, Juan-Pablo Ortega
Neural Computation|May 13, 2016
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional SignalsLyudmila Grigoryeva, Julie Henriques, Laurent Larger, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 16, 2014
Stochastic nonlinear time series forecasting using time-delay reservoir computers: performance and universalityLyudmila Grigoryeva, Julie Henriques, Laurent Larger, et al.
Scientific Reports|September 12, 2015
Optimal nonlinear information processing capacity in delay-based reservoir computersLyudmila Grigoryeva, Julie Henriques, Laurent Larger, et al.
Plos One|February 28, 2024
Tracing curves in the plane: Geometric-invariant learning from human demonstrationsSri Harsha Turlapati, Lyudmila Grigoryeva, Juan-Pablo Ortega, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 26, 2021
Discrete-Time Signatures and Randomness in Reservoir ComputingChrista Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, et al.
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