Zobrazeno 1 - 10
of 36 834
pro vyhledávání: '"Agostinelli, A"'
Autor:
Chiara Reatti
Publikováno v:
TECA, Vol 14, Iss 9ns, Pp 477-479 (2024)
Externí odkaz:
https://doaj.org/article/1217f316031941629228ac2f0d9e3acd
Autor:
Raymaekers, Jakob, Rousseeuw, Peter J.
Publikováno v:
In Econometrics and Statistics February 2024
Autor:
Tadié, Jean-Yves
Publikováno v:
Bulletin d'informations proustiennes, 2018 Jan 01(48), 33-35.
Externí odkaz:
https://www.jstor.org/stable/45013041
Autor:
Swoboda, Tomasz
Publikováno v:
Cahiers ERTA. (32):90-100
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1113234
Autor:
Cideron, Geoffrey, Agostinelli, Andrea, Ferret, Johan, Girgin, Sertan, Elie, Romuald, Bachem, Olivier, Perrin, Sarah, Ramé, Alexandre
Generative models are transforming creative domains such as music generation, with inference-time strategies like Classifier-Free Guidance (CFG) playing a crucial role. However, CFG doubles inference cost while limiting originality and diversity acro
Externí odkaz:
http://arxiv.org/abs/2410.06084
Autor:
Flora Di Legami
Publikováno v:
Quaderns d'Italià, Vol 27 (2022)
Externí odkaz:
https://doaj.org/article/ca810cdac47e413c935a6917c0337884
Autor:
Chiara Reatti
Publikováno v:
TECA, Vol 12, Iss 5ns, Pp 155-157 (2022)
Externí odkaz:
https://doaj.org/article/6ecc6b200f2e41ee97a6230141142118
In scientific fields such as quantum computing, physics, chemistry, and machine learning, high dimensional data are typically represented using sparse tensors. Tensor contraction is a popular operation on tensors to exploit meaning or alter the input
Externí odkaz:
http://arxiv.org/abs/2410.10094
Pathfinding problems are found throughout robotics, computational science, and natural sciences. Traditional methods to solve these require training deep neural networks (DNNs) for each new problem domain, consuming substantial time and resources. Th
Externí odkaz:
http://arxiv.org/abs/2406.02598