Багатокрокове прогнозування в лінеаризованих латентних просторах для навчання репрезинтацій

In this paper, we derive a novel method as a generalization over LCEs such as E2C. The method develops the idea of learning a locally linear state space by adding a multi-step prediction, thus allowing for more explicit control over the curvature. We show that the method outperforms E2C without dras...

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Bibliographic Details
Date:2022
Main Author: Tytarenko, Andrii
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2022
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Online Access:http://journal.iasa.kpi.ua/article/view/269583
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Journal Title:System research and information technologies

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System research and information technologies