- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Neural scaling of deep chemical models ; volume:5 ; number:11 ; day:23 ; month:10 ; year:2023 ; pages:1297-1305 ; date:11.2023
Nature machine intelligence ; 5, Heft 11 (23.10.2023), 1297-1305, 11.2023
- Urheber
-
Frey, Nathan C.
Soklaski, Ryan
Axelrod, Simon
Samsi, Siddharth
Gómez-Bombarelli, Rafael
Coley, Connor W.
Gadepally, Vijay
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s42256-023-00740-3
- URN
-
urn:nbn:de:101:1-2024020613155947124002
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 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
- Frey, Nathan C.
- Soklaski, Ryan
- Axelrod, Simon
- Samsi, Siddharth
- Gómez-Bombarelli, Rafael
- Coley, Connor W.
- Gadepally, Vijay
- SpringerLink (Online service)
Ähnliche Objekte (12)
Adaptive temperature scaling for Robust calibration of deep neural networks
Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest
Fluctuation scaling in neural spike trains
Preserving neural function under extreme scaling
Individual differences among deep neural network models
Deep neural network model of haptic saliency
Scaling deep learning for materials discovery
Multivariate Density Estimation with Deep Neural Mixture Models
Deep latent-variable models for neural text generation
Scaling neural machine translation to 200 languages
Author Correction: Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest
Forward models demonstrate that repetition suppression is best modelled by local neural scaling
Adaptive temperature scaling for Robust calibration of deep neural networks
Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest
Fluctuation scaling in neural spike trains
Preserving neural function under extreme scaling
Individual differences among deep neural network models
Deep neural network model of haptic saliency
Scaling deep learning for materials discovery
Multivariate Density Estimation with Deep Neural Mixture Models
Deep latent-variable models for neural text generation
Scaling neural machine translation to 200 languages
Author Correction: Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest
Forward models demonstrate that repetition suppression is best modelled by local neural scaling
Adaptive temperature scaling for Robust calibration of deep neural networks
Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest
Fluctuation scaling in neural spike trains
Preserving neural function under extreme scaling
Individual differences among deep neural network models
Deep neural network model of haptic saliency
Scaling deep learning for materials discovery
Multivariate Density Estimation with Deep Neural Mixture Models
Deep latent-variable models for neural text generation
Scaling neural machine translation to 200 languages
Author Correction: Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest