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This paper explores self-supervised disentangled representation learning within sequential data, focusing on separating time-indep- endent and time-varying factors in videos. We propose a new model that breaks the usual independence assumption between thos ...
Springer Science and Business Media Deutschland GmbH2025
This thesis contributes to the modelling of multivariate rare events by combining extreme value theory and graphical modelling.
The central theme involves structural equation models (SEMs), which are powerful tools used to express causal extremal dependenc ...
Creators Meystre Julie Olivier Burri Contributors Jean Jacquemier Description This dataset contains 7 QuPath projects. The raw data images linked to these projects and located in other Zenodo datasets need to be downloaded as well. The raw data contains im ...