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Lyudmila Grigoryeva
Lyudmila Grigoryeva
Associate Professor at University of St. Gallen
在 unisg.ch 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Echo state networks are universal
L Grigoryeva, JP Ortega
Neural Networks 108, 495-508, 2018
2332018
Approximation bounds for random neural networks and reservoir systems
L Gonon, L Grigoryeva, JP Ortega
The Annals of Applied Probability 33 (1), 28-69, 2023
802023
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems
L Grigoryeva, JP Ortega
Journal of Machine Learning Research 19, 1-40, 2018
592018
Optimal nonlinear information processing capacity in delay-based reservoir computers
L Grigoryeva, J Henriques, L Larger, JP Ortega
Scientific reports 5 (1), 12858, 2015
562015
Risk bounds for reservoir computing
L Gonon, L Grigoryeva, JP Ortega
Journal of Machine Learning Research 21 (240), 1-61, 2020
422020
Differentiable reservoir computing
L Grigoryeva, JP Ortega
Journal of Machine Learning Research 20 (179), 1-62, 2019
422019
Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality
L Grigoryeva, J Henriques, L Larger, JP Ortega
Neural Networks 55, 59-71, 2014
422014
Discrete-time signatures and randomness in reservoir computing
C Cuchiero, L Gonon, L Grigoryeva, JP Ortega, J Teichmann
IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6321-6330, 2021
412021
Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theorem
L Grigoryeva, A Hart, JP Ortega
Physical Review E 103 (6), 062204, 2021
332021
Memory and forecasting capacities of nonlinear recurrent networks
L Gonon, L Grigoryeva, JP Ortega
Physica D: Nonlinear Phenomena 414, 132721, 2020
272020
Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals
L Grigoryeva, J Henriques, L Larger, JP Ortega
Neural computation 28 (7), 1411-1451, 2016
262016
Estimation and empirical performance of non-scalar dynamic conditional correlation models
L Bauwens, L Grigoryeva, JP Ortega
Computational Statistics & Data Analysis 100, 17-36, 2016
252016
Learning strange attractors with reservoir systems
L Grigoryeva, A Hart, JP Ortega
Nonlinearity 36 (9), 4674, 2023
242023
Expressive power of randomized signature
C Cuchiero, L Gonon, L Grigoryeva, JP Ortega, J Teichmann
The Symbiosis of Deep Learning and Differential Equations, 2021
182021
Substitute or complement? Defining the relative place of EEG and fMRI in the detection of voluntary brain reactions
D Gabriel, J Henriques, A Comte, L Grigoryeva, JP Ortega, E Cretin, ...
Neuroscience 290, 435-444, 2015
162015
Dimension reduction in recurrent networks by canonicalization
L Grigoryeva, JP Ortega
Journal of Geometric Mechanics 13 (4), 647-677, 2021
152021
Volatility forecasting using global stochastic financial trends extracted from non-synchronous data
L Grigoryeva, JP Ortega, A Peresetsky
Econometrics and Statistics, 2017
152017
Protocol design challenges in the detection of awareness in aware subjects using EEG signals
J Henriques, D Gabriel, L Grigoryeva, E Haffen, T Moulin, R Aubry, ...
Clinical EEG and neuroscience 47 (4), 266-275, 2016
132016
Infinite-dimensional reservoir computing
L Gonon, L Grigoryeva, JP Ortega
Neural Networks, 106486, 2024
92024
Stability of Hamiltonian relative equilibria in symmetric magnetically confined rigid bodies
L Grigoryeva, JP Ortega, S Zub
arXiv preprint arXiv:1311.2256, 2013
92013
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