causal modeling 1graph interventions 1identifiability 1partial observation 1structural causal models 1
From the 1 of 2 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Partially Observed Structural Causal Models
Turan Orujlu, Jordan Matelsky, Martin V. Butz +2
The paper proposes Partially Observed Structural Causal Models (POSCMs) to extend traditional SCMs for scenarios where upstream contexts jointly determine graph structure and downs…
cs.LG2026
Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem
Turan Orujlu, Christian Gumbsch, Martin V. Butz +1
Most neural models of causality assume static causal graphs, failing to capture the dynamic and sparse nature of physical interactions where causal relationships emerge and dissolv…