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pro vyhledávání: '"Forrer, Luca"'
GNNs are powerful models based on node representation learning that perform particularly well in many machine learning problems related to graphs. The major obstacle to the deployment of GNNs is mostly a problem of societal acceptability and trustwor
Externí odkaz:
http://arxiv.org/abs/2406.11594
We developed a process to fabricate nanoscale metallic gate electrodes on scanning probe cantilevers, including on the irregular surface of protruding cantilever tips. The process includes a floating-layer technique to coat the cantilevers in electro
Externí odkaz:
http://arxiv.org/abs/2209.11503
Autor:
Marot, Antoine, Donnot, Benjamin, Romero, Camilo, Veyrin-Forrer, Luca, Lerousseau, Marvin, Donon, Balthazar, Guyon, Isabelle
For power grid operations, a large body of research focuses on using generation redispatching, load shedding or demand side management flexibilities. However, a less costly and potentially more flexible option would be grid topology reconfiguration,
Externí odkaz:
http://arxiv.org/abs/1912.04211
Publikováno v:
In Data & Knowledge Engineering November 2022 142
Autor:
Marot, Antoine, Donnot, Benjamin, Romero, Camilo, Donon, Balthazar, Lerousseau, Marvin, Veyrin-Forrer, Luca, Guyon, Isabelle
Publikováno v:
In Electric Power Systems Research December 2020 189
Akademický článek
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GNNs are powerful models based on node representation learning that perform particularly well in many machine learning problems related to graphs. The major obstacle to the deployment of GNNs is mostly a problem of societal acceptability and trustwor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9a0df3486a52fb9f3700bafdf8d049e9
https://hal.archives-ouvertes.fr/hal-03367714/file/hal.pdf
https://hal.archives-ouvertes.fr/hal-03367714/file/hal.pdf