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IEEE Transactions on Neural Networks and Learning Systems|April 9, 2025
Universal Approximation Theorem and Error Bounds for Quantum Neural Networks and Quantum ReservoirsLukas Gonon, Antoine JacquierIEEE Transactions on Neural Networks and Learning Systems|March 21, 2019
Reservoir Computing Universality With Stochastic InputsLukas Gonon, Juan-Pablo OrtegaNeural Networks : the Official Journal of the International Neural Network Society|February 21, 2021
Fading memory echo state networks are universalLukas Gonon, Juan-Pablo OrtegaApplied Mathematics and Optimization|March 10, 2026
Random Neural Networks for Rough VolatilityAntoine Jacquier, Žan ŽuričSN Partial Differential Equations and Applications|October 14, 2024
Overcoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equationsChristian Beck, Lukas Gonon, Arnulf JentzenIEEE Transactions on Neural Networks and Learning Systems|November 25, 2025
Reservoir Kernels and Volterra SeriesLukas Gonon, Lyudmila Grigoryeva, Juan-Pablo OrtegaNeural Networks : the Official Journal of the International Neural Network Society|July 10, 2024
Infinite-dimensional reservoir computingLukas Gonon, Lyudmila Grigoryeva, Juan-Pablo OrtegaIEEE 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 1