Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Mathematics of Control, Signals, and Systems : MCSS, 34, 1, S. 185-214
- Ereignis
-
Veröffentlichung
- (wo)
-
Mannheim
- (wer)
-
Universitätsbibliothek Mannheim
- (wann)
-
2022
- Urheber
-
Göttlich, Simone
Totzeck, Claudia
- URN
-
urn:nbn:de:bsz:180-madoc-617103
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-03-25T13:42:31+0100
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Göttlich, Simone
- Totzeck, Claudia
- Universitätsbibliothek Mannheim
Entstanden
- 2022
Ähnliche Objekte (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