DISENTANGLED STATE SPACE MODELS: UNSUPERVISED LEARNING OF DYNAMICS ACROSS HETEROGENEOUS ENVIRONMENTS

作者: B. Schölkopf , J. M. Buhmann , S. Bauer , M. W. Gondal , D. Miladinovic

DOI:

关键词: Dynamics (music)State spaceComputer scienceArtificial intelligenceUnsupervised learning

摘要: Sequential data often originates from diverse environments. Across them exist both shared regularities and environment specifics. To learn robust cross-environment descriptions of …

参考文章(0)