On neural differential equations

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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Kidger, P
Бусад зохиолчид:	Lyons, T
Формат:	Дипломын ажил
Хэл сонгох:	English
Хэвлэсэн:	2021
Нөхцлүүд:	Machine learning Deep learning (Machine learning) Stochastic differential equations Differential equations

Ижил төстэй зүйлс

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Stochastic differential equations : an introduction with applications /
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Statistical methods for stochastic differential equations /
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Stochastic differential equations : an introduction with applications /
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Theory and applications of stochastic differential equations /
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Random differential equations in science and engineering /
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Stochastic differential equations: theory and applications /
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Stochastic differential equations : an introduction with applications /
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Stochastic differential equations : with applications to physics and engineering /
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Proceedings of the International Symposium on Stochastic Differential Equations /
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Stochastic differential equation for two-phase growth model /
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Stochastic differential equation for two-phase growth model /
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Simulation and inference for stochastic differential equations : with R examples /
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A Concise Course on Stochastic Partial Differential Equations [electronic resources]: /
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Modified two-step method for stochastic differential equation's parameter estimation /
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Modified two-step method for stochastic differential equation's parameter estimation /
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Stochastic partial differential equations /
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An Efficient Method for Solving Two-Dimensional Partial Differential Equations with the Deep Operator Network
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Fault Diagnosis via Neural Ordinary Differential Equations
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Theory of stochastic differential equations with jumps and applications : mathematical and analytical techniques with applications to engineering /
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