- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Empowering deep neural quantum states through efficient optimization ; volume:20 ; number:9 ; day:1 ; month:7 ; year:2024 ; pages:1476-1481 ; date:9.2024
Nature physics ; 20, Heft 9 (1.7.2024), 1476-1481, 9.2024
- Klassifikation
-
Physik
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41567-024-02566-1
- URN
-
urn:nbn:de:101:1-2411262122360.388958402114
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
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
- Chen, Ao
- Heyl, Markus Philip Ludwig
- SpringerLink (Online service)
Ähnliche Objekte (12)
Optimization landscape of deep neural networks
Pruning and quantization for efficient deep neural networks
Compact and efficient representations of deep neural networks
Deep learning empowering design for selective solar absorber
A deep convolutional neural network for efficient microglia detection
Evolving deep neural networks: optimization of weights and architectures
A modified Adam algorithm for deep neural network optimization
Heterogeneous gradient computing optimization for scalable deep neural networks
Hierarchical multi-scale parametric optimization of deep neural networks
Empowering PET: harnessing deep learning for improved clinical insight
Efficient multiscale modeling of heterogeneous materials using deep neural networks
Energy efficient hardware architectures for memory prohibitive deep neural networks
Optimization landscape of deep neural networks
Pruning and quantization for efficient deep neural networks
Compact and efficient representations of deep neural networks
Deep learning empowering design for selective solar absorber
A deep convolutional neural network for efficient microglia detection
Evolving deep neural networks: optimization of weights and architectures
A modified Adam algorithm for deep neural network optimization
Heterogeneous gradient computing optimization for scalable deep neural networks
Hierarchical multi-scale parametric optimization of deep neural networks
Empowering PET: harnessing deep learning for improved clinical insight
Efficient multiscale modeling of heterogeneous materials using deep neural networks
Energy efficient hardware architectures for memory prohibitive deep neural networks
Optimization landscape of deep neural networks
Pruning and quantization for efficient deep neural networks
Compact and efficient representations of deep neural networks
Deep learning empowering design for selective solar absorber
A deep convolutional neural network for efficient microglia detection
Evolving deep neural networks: optimization of weights and architectures
A modified Adam algorithm for deep neural network optimization
Heterogeneous gradient computing optimization for scalable deep neural networks
Hierarchical multi-scale parametric optimization of deep neural networks
Empowering PET: harnessing deep learning for improved clinical insight
Efficient multiscale modeling of heterogeneous materials using deep neural networks