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1 Ergebnisse
1
Learning A Continuous and Reconstructible Latent Space for ..:
, In:
2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
,
Huang, Qijing
;
Hong, Charles
;
Wawrzynek, John
.. - p. 277-287 , 2022
Link:
https://doi.org/10.1109/ISPASS55109.2022.00041
RT T1 <cTitle>2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)</cTitle>: T1 <Title>Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9804604&Exemplar=1&LAN=DE A1 Huang, Qijing A1 Hong, Charles A1 Wawrzynek, John A1 Subedar, Mahesh A1 Shao, Yakun Sophia YR 2022 K1 Visualization K1 Systematics K1 Predictive models K1 Search problems K1 Prediction algorithms K1 Hardware K1 Software K1 accelerator K1 design space exploration K1 latent space K1 variational autoencoder K1 vae K1 representation learning SP 277 OP 287 LK http://dx.doi.org/https://doi.org/10.1109/ISPASS55109.2022.00041 DO https://doi.org/10.1109/ISPASS55109.2022.00041 SF ELIB - SuUB Bremen
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