Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Mathematics of Control, Signals, and Systems : MCSS, 34, 1, S. 185-214
- Event
-
Veröffentlichung
- (where)
-
Mannheim
- (who)
-
Universitätsbibliothek Mannheim
- (when)
-
2022
- Creator
-
Göttlich, Simone
Totzeck, Claudia
- URN
-
urn:nbn:de:bsz:180-madoc-617103
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:42 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Göttlich, Simone
- Totzeck, Claudia
- Universitätsbibliothek Mannheim
Time of origin
- 2022
Other Objects (12)
Gradient Flows, Metastability and Interacting Particle Systems
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Gradient descent on parametric Markov Chains
Interacting particle solutions of Fokker–Planck equations through gradient–log–density estimation
Interacting particle systems
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
XGANDALF – extended gradient descent algorithm for lattice finding
Gradient descent for wide two-layer neural networks
Gradient Flows, Metastability and Interacting Particle Systems
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Gradient descent on parametric Markov Chains
Interacting particle solutions of Fokker–Planck equations through gradient–log–density estimation
Interacting particle systems
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
XGANDALF – extended gradient descent algorithm for lattice finding
Gradient descent for wide two-layer neural networks
Gradient Flows, Metastability and Interacting Particle Systems
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Gradient descent on parametric Markov Chains
Interacting particle solutions of Fokker–Planck equations through gradient–log–density estimation
Interacting particle systems
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
XGANDALF – extended gradient descent algorithm for lattice finding