Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"causal representation learning"”.
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Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
This thesis brings together ideas from causality and representation learning. Causal models provide rich descriptions of complex systems as sets of mechanisms by which each variable is influenced by its direct causes. They support reasoning about manipulating parts of the system, capture a whole …
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Causal Representation Learning for Predicting Genetic Perturbation Effects on Single Cells
… expression profiles. While existing deep learning approaches excel at interpolating within observational data, they often struggle to extrapolate to novel perturbations. To address this limitation, this study introduces a hybrid framework that integrates a linear causal model, grounded in …
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Causal Foundations for Pragmatic Data Science
… decision-making, emphasizing the importance of causal models in science, i.e., models which describe the possible effects of actions upon a system. The work contained explores central topics in this domain, including causal discovery (learning causal models from data), causal representation …