Causal discovery in microbiome data with identifiable variational autoencoders
Evaluating whether questionnaire-guided iVAE representations support causal discovery in microbiome data with hidden confounding.
Discovering financial factors with language model agents
This project compares language model agents, random search and genetic search for financial factor discovery, isolating the contribution of experimental memory under a common evaluation budget.
Fraud Campaign Detection and Rule Learning for Card Payments
Investigate whether transaction groups and interpretable rules, including rules proposed by language models, improve future fraud detection beyond a LightGBM baseline.
JEPA for Code Generation and Optimization
Investigating whether predictive world models in representation space can guide code generation and compiler optimization.
Relational steering for tabular anomaly detection
Investigating whether context-dependent interventions in tabular models reveal anomalies that violate relationships between variables.