3 papers
cs.LG2026
Identifiable Multimodal Causal Representation Learning under Partial Latent Sharing
Manal Benhamza, Marianne Clausel, Myriam Tami
Causal representation learning (CRL) seeks to uncover meaningful latent variables and their corresponding causal structure from high-dimensional observational data. Although its si…
cs.LG2024
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit +1
Estimating treatment effects over time holds significance in various domains, including precision medicine, epidemiology, economy, and marketing. This paper introduces a unique app…
stat.ML2023
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…