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Ryan Welch

2 accepted papers

2024

Identifiability Guarantees for Causal Disentanglement from Purely Observational Data

NeurIPS 2024poster

Causal disentanglement aims to learn about latent causal factors behind data, hold- ing the promise to augment existing representation learning methods in terms of interpretability and extrapolation. Recent advances establish identifiability results assuming that interventions on (single) latent fac…