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stat.ML2026
Topological Residual Asymmetry for Bivariate Causal Direction
Mouad El Bouchattaoui
Inferring causal direction from purely observational bivariate data is fragile: many methods commit to a direction even in ambiguous or near non-identifiable regimes. We propose To…
stat.ML2025
Learning Causality for Longitudinal Data
Mouad EL Bouchattaoui
This thesis develops methods for causal inference and causal representation learning (CRL) in high-dimensional, time-varying data. The first contribution introduces the Causal Dyna…
stat.ML2023★ 2 cited
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit +1
Accurately estimating treatment effects over time is crucial in fields such as precision medicine, epidemiology, economics, and marketing. Many current methods for estimating treat…