Damian Machlanski

Rethinking Chronological Causal Discovery with Signal Processing

2025

Causal discovery problems use a set of observations to deduce causality between variables in the real world, typically to answer questions about biological or physical systems. These observations are often recorded at regular time intervals, …

Identifiable Estimation of Causal Concept Effects under Visual Latent Confounding

2026 · Edinburgh Research Explorer (University of Edinburgh)

Estimating the causal effect of human-interpretable visual concepts on outcomes<br/>is essential for auditing classifiers and assessing bias in image datasets. However, existing estimators typically assume unconfoundedness, a condition rarely met in practice, as concept annotations …