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Lyudmila Grigoryeva
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2020 – today
- 2024
- [j8]Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Infinite-dimensional reservoir computing. Neural Networks 179: 106486 (2024) - [i15]Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino:
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers. CoRR abs/2405.12182 (2024) - 2023
- [i14]Lukas Gonon, Lyudmila Grigoryeva
, Juan-Pablo Ortega
:
Infinite-dimensional reservoir computing. CoRR abs/2304.00490 (2023) - [i13]Giovanni Ballarin, Lyudmila Grigoryeva
, Juan-Pablo Ortega
:
Memory of recurrent networks: Do we compute it right? CoRR abs/2305.01457 (2023) - 2022
- [j7]Christa Cuchiero, Lukas Gonon
, Lyudmila Grigoryeva
, Juan-Pablo Ortega
, Josef Teichmann:
Discrete-Time Signatures and Randomness in Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6321-6330 (2022) - [i12]Lukas Gonon, Lyudmila Grigoryeva
, Juan-Pablo Ortega
:
Reservoir kernels and Volterra series. CoRR abs/2212.14641 (2022) - 2021
- [i11]Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega:
Learning strange attractors with reservoir systems. CoRR abs/2108.05024 (2021) - 2020
- [i10]Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Approximation Bounds for Random Neural Networks and Reservoir Systems. CoRR abs/2002.05933 (2020) - [i9]Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Memory and forecasting capacities of nonlinear recurrent networks. CoRR abs/2004.11234 (2020) - [i8]Lyudmila Grigoryeva, Juan-Pablo Ortega:
Dimension reduction in recurrent networks by canonicalization. CoRR abs/2007.12141 (2020) - [i7]Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann:
Discrete-time signatures and randomness in reservoir computing. CoRR abs/2010.14615 (2020)
2010 – 2019
- 2019
- [j6]Lyudmila Grigoryeva, Juan-Pablo Ortega:
Differentiable reservoir computing. J. Mach. Learn. Res. 20: 179:1-179:62 (2019) - [i6]Lyudmila Grigoryeva, Juan-Pablo Ortega:
Differentiable reservoir computing. CoRR abs/1902.06094 (2019) - [i5]Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Risk bounds for reservoir computing. CoRR abs/1910.13886 (2019) - 2018
- [j5]Lyudmila Grigoryeva, Juan-Pablo Ortega:
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. J. Mach. Learn. Res. 19: 24:1-24:40 (2018) - [j4]Lyudmila Grigoryeva
, Juan-Pablo Ortega
:
Echo state networks are universal. Neural Networks 108: 495-508 (2018) - [i4]Lyudmila Grigoryeva, Juan-Pablo Ortega:
Echo state networks are universal. CoRR abs/1806.00797 (2018) - 2017
- [i3]Lyudmila Grigoryeva, Juan-Pablo Ortega:
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. CoRR abs/1712.00754 (2017) - 2016
- [j3]Luc Bauwens, Lyudmila Grigoryeva
, Juan-Pablo Ortega
:
Estimation and empirical performance of non-scalar dynamic conditional correlation models. Comput. Stat. Data Anal. 100: 17-36 (2016) - [j2]Lyudmila Grigoryeva
, Julie Henriques, Laurent Larger
, Juan-Pablo Ortega
:
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. Neural Comput. 28(7): 1411-1451 (2016) - [c2]Lyudmila Grigoryeva
, Julie Henriques, Laurent Larger
, Juan-Pablo Ortega
:
Time-Delay Reservoir Computers and High-Speed Information Processing Capacity. CSE/EUC/DCABES 2016: 492-495 - [c1]Lyudmila Grigoryeva
, Julie Henriques, Juan-Pablo Ortega:
Reservoir Computing: Information Processing of Stationary Signals. CSE/EUC/DCABES 2016: 496-503 - 2015
- [i2]Lyudmila Grigoryeva, Julie Henriques, Juan-Pablo Ortega:
Forecasting, filtering, and reconstruction of stochastic stationary signals using discrete-time reservoir computers. CoRR abs/1508.00144 (2015) - [i1]Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega:
Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals. CoRR abs/1510.03891 (2015) - 2014
- [j1]Lyudmila Grigoryeva
, Julie Henriques, Laurent Larger
, Juan-Pablo Ortega
:
Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality. Neural Networks 55: 59-71 (2014)
Coauthor Index
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last updated on 2024-08-14 23:20 CEST by the dblp team
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