Representation Learning

Causal discovery in microbiome data with identifiable variational autoencoders

Evaluating whether questionnaire-guided iVAE representations support causal discovery in microbiome data with hidden confounding.

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JEPA for Code Generation and Optimization

Investigating whether predictive world models in representation space can guide code generation and compiler optimization.

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