PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations ; year:2020 ; pages:1-14
Geoscientific model development discussions ; (2020), 1-14

Creator: Pannekoucke, Olivier
Fablet, Ronan

DOI: 10.5194/gmd-2020-35

URN: urn:nbn:de:101:1-2020030504293820300631

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:45 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Pannekoucke, Olivier
Fablet, Ronan

Other Objects (12)

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

Symbolic representations in WCET analysis

Hochschulschrift

Symbolic representations in WCET analysis

PDE-Based Group Equivariant Convolutional Neural Networks

PDE-Based Group Equivariant Convolutional Neural Networks

Gleria, P.de., Paßabänderung

Akten

Gleria, P.de., Paßabänderung

Communication by graphic net representations

Communication by graphic net representations

Parallel PDE based mesh generators

zweidimensionales bewegtes Bild

Parallel PDE based mesh generators

Regularity theory for elliptic PDE

Regularity theory for elliptic PDE

Pseudodifferential operators and nonlinear PDE

Pseudodifferential operators and nonlinear PDE

Large-scale PDE constrained optimization

Konferenzschrift | Kongress

Large-scale PDE constrained optimization

PDE solvers on Octree grids

zweidimensionales bewegtes Bild

PDE solvers on Octree grids

A neural network-based PDE solving algorithm with high precision

A neural network-based PDE solving algorithm with high precision

Contrasting symbolic and non-symbolic numerical representations in a joint classification task

Contrasting symbolic and non-symbolic numerical representations in a joint classification task

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

Symbolic representations in WCET analysis

Hochschulschrift

Symbolic representations in WCET analysis

PDE-Based Group Equivariant Convolutional Neural Networks

PDE-Based Group Equivariant Convolutional Neural Networks

Gleria, P.de., Paßabänderung

Akten

Gleria, P.de., Paßabänderung

Communication by graphic net representations

Communication by graphic net representations

Parallel PDE based mesh generators

zweidimensionales bewegtes Bild

Parallel PDE based mesh generators

Regularity theory for elliptic PDE

Regularity theory for elliptic PDE

Pseudodifferential operators and nonlinear PDE

Pseudodifferential operators and nonlinear PDE

Large-scale PDE constrained optimization

Konferenzschrift | Kongress

Large-scale PDE constrained optimization

PDE solvers on Octree grids

zweidimensionales bewegtes Bild

PDE solvers on Octree grids

A neural network-based PDE solving algorithm with high precision

A neural network-based PDE solving algorithm with high precision

Contrasting symbolic and non-symbolic numerical representations in a joint classification task

Contrasting symbolic and non-symbolic numerical representations in a joint classification task

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

Symbolic representations in WCET analysis

Hochschulschrift

Symbolic representations in WCET analysis

PDE-Based Group Equivariant Convolutional Neural Networks

PDE-Based Group Equivariant Convolutional Neural Networks

Gleria, P.de., Paßabänderung

Akten

Gleria, P.de., Paßabänderung

Communication by graphic net representations

Communication by graphic net representations

Parallel PDE based mesh generators

zweidimensionales bewegtes Bild

Parallel PDE based mesh generators

Regularity theory for elliptic PDE

Regularity theory for elliptic PDE

Pseudodifferential operators and nonlinear PDE

Pseudodifferential operators and nonlinear PDE

Large-scale PDE constrained optimization

Konferenzschrift | Kongress

Large-scale PDE constrained optimization

PDE solvers on Octree grids

zweidimensionales bewegtes Bild

PDE solvers on Octree grids

A neural network-based PDE solving algorithm with high precision

A neural network-based PDE solving algorithm with high precision

Contrasting symbolic and non-symbolic numerical representations in a joint classification task

Contrasting symbolic and non-symbolic numerical representations in a joint classification task

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.