2 papers
cs.LG2026
Learning Causal Orderings for In-Context Tabular Prediction
Sascha Xu, Sarah Mameche, Jilles Vreeken
In-context learning for tabular data sets strong predictive standards in observational settings; it however primarily relies on correlational structure, which becomes unreliable un…
cs.LG2025
SpaceTime: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad +1
Understanding causality is challenging and often complicated by changing causal relationships over time and across environments. Climate patterns, for example, shift over time with…