Grigoryeva, Lyudmila
- Echo state networks are universal
2018/06/03 by Grigoryeva, Lyudmila, Ortega, Juan-Pablo · 15 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems
2017/12/03 by Grigoryeva, Lyudmila, Ortega, Juan-Pablo · 7 citations
#FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- Approximation Bounds for Random Neural Networks and Reservoir Systems
2020/02/14 by Lukas Gonon, Gonon, Lukas, Lyudmila Grigoryeva +3 · 5 citations
Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning and ELM #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Probability (math.PR) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Differentiable reservoir computing
2019/02/16 by Lyudmila Grigoryeva, Grigoryeva, Lyudmila, Juan‐Pablo Ortega +1 · 3 citations
Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Nonlinear Dynamics and Pattern Formation #Systems and Control (eess.SY) #electronic engineering #information engineering
- Risk bounds for reservoir computing
2019/10/30 by Lukas Gonon, Gonon, Lukas, Lyudmila Grigoryeva +3 · 2 citations
Computer Science · Neuroscience · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
- Dimension reduction in recurrent networks by canonicalization
2020/07/23 by Grigoryeva, Lyudmila, Ortega, Juan-Pablo · 2 citations
#Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
- Infinite-dimensional next-generation reservoir computing
2024/12/13 by Lyudmila Grigoryeva, Hannah Lim Jing Ting, Grigoryeva, Lyudmila +3 · 3 citations
Computer Science · Engineering · #Neural Networks and Reservoir Computing #Neural Networks and Applications #Advanced Memory and Neural Computing
- Discrete-time signatures and randomness in reservoir computing
2020/09/17 by Cuchiero, Christa, Gonon, Lukas, Grigoryeva, Lyudmila +2 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Probability (math.PR)
- Data-driven cold starting of good reservoirs
2024/03/15 by Lyudmila Grigoryeva, Grigoryeva, Lyudmila, Boumediene Hamzi +11 · 2 citations
Engineering · #Dynamical Systems (math.DS) #Enhanced Oil Recovery Techniques #FOS: Mathematics #Hydraulic Fracturing and Reservoir Analysis #Reservoir Engineering and Simulation Methods
- Reservoir kernels and Volterra series
2022/12/30 by Lukas Gonon, Lyudmila Grigoryeva, Gonon, Lukas +3 · 1 citation
Engineering · Computer Science · Physics and Astronomy · #Control Systems and Identification #Neural Networks and Applications #Model Reduction and Neural Networks
- Forecasting causal dynamics with universal reservoirs
2024/05/04 by Grigoryeva, Lyudmila, Louw, James, Ortega, Juan-Pablo · 1 citation
#Dynamical Systems (math.DS) #FOS: Mathematics
- RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
2024/11/09 by Gattiglio, Guglielmo, Grigoryeva, Lyudmila, Tamborrino, Massimiliano · 1 citation
#65L05 #65M22 #65M55 #65Y05 #68T07 #68T09 #Computation (stat.CO) #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Parallel #and Cluster Computing (cs.DC)