2 papers
cs.LG2026
Temporal Causal Prior-Data Fitted Networks for Panel Data with Learned Reliability Signals
Shravan Talupula, Saurabh Sharma
Estimating causal effects in industrial time series requires handling temporal dynamics, time-varying treatments, and unobserved confounders. Existing causal foundation models (Cau…
cs.AI2025
ProRCA: A Causal Python Package for Actionable Root Cause Analysis in Real-world Business Scenarios
Ahmed Dawoud, Shravan Talupula
Root Cause Analysis (RCA) is becoming ever more critical as modern systems grow in complexity, volume of data, and interdependencies. While traditional RCA methods frequently rely…