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Memory of recurrent networks: Do we compute it right?

Memory of recurrent networks: Do we compute it right?

Journal of machine learning research (JMLR), 2023
2 May 2023
Giovanni Ballarin
Lyudmila Grigoryeva
Juan-Pablo Ortega
ArXiv (abs)PDFHTML

Papers citing "Memory of recurrent networks: Do we compute it right?"

2 / 2 papers shown
Title
Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
JingChuan Guan
T. Kubota
Yasuo Kuniyoshi
Kohei Nakajima
64
0
0
01 Oct 2025
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Luca Galimberti
Anastasis Kratsios
Giulia Livieri
OOD
320
19
0
24 Oct 2022
1