On neural differential equations
<p>The conjoining of dynamical systems and deep learning has become a topic of great interest. In particular, neural differential equations (NDEs) demonstrate that neural networks and differential equation are two sides of the same coin. Traditional parameterised differential equations are a s...
Prif Awdur: | Kidger, P |
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Awduron Eraill: | Lyons, T |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
2021
|
Pynciau: |
Eitemau Tebyg
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Learning nonlinear integral operators via recurrent neural networks and its application in solving integro-differential equations
gan: Hardeep Bassi, et al.
Cyhoeddwyd: (2024-03-01) -
Stochastic ordinary and stochastic partial differential equations : transition from microscopic to macroscopic equations /
gan: 272186 Kotelenez, Peter
Cyhoeddwyd: (2008) -
Stochastic stability of differential equations : translated by D. Louvish /
gan: Has'minskii, R. Z., et al.
Cyhoeddwyd: (1980) -
Stochastic Runge-Kutta method for stochastic delay differential equations /
gan: Norhayati Rosli, 1981-
Cyhoeddwyd: (2012) -
Stochastic Runge-Kutta method for stochastic delay differential equations /
gan: Norhayati Rosli, 1981-, et al.
Cyhoeddwyd: (2012)