Zobrazeno 1 - 3
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pro vyhledávání: '"Somaiya, Pratik"'
Autor:
Omeiza, Daniel, Somaiya, Pratik, Pattinson, Jo-Ann, Ten-Holter, Carolyn, Stilgoe, Jack, Jirotka, Marina, Kunze, Lars
As artificial intelligence (AI) technology advances, ensuring the robustness and safety of AI-driven systems has become paramount. However, varying perceptions of robustness among AI developers create misaligned evaluation metrics, complicating the a
Externí odkaz:
http://arxiv.org/abs/2408.08584
Autor:
Somaiya, Pratik, Bhogayata, Ankur
Publikováno v:
In Materials Today: Proceedings
In this work, we present TS-Rep, a self-supervised method that learns representations from multi-modal varying-length time series sensor data from real robots. TS-Rep is based on a simple yet effective technique for triplet learning, where we randoml
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b89fd239df76ef5233e2eec580e8b61