3 papers
cs.LG2026
Interventional Time Series Priors for Causal Foundation Models
Dennis Thumm, Ying Chen
Prior-data fitted networks (PFNs) have emerged as powerful foundation models for tabular causal inference, yet their extension to time series remains limited by the absence of synt…
cs.GT2025
Sequential Causal Normal Form Games: Theory, Computation, and Strategic Signaling
Dennis Thumm
Can classical game-theoretic frameworks be extended to capture the bounded rationality and causal reasoning of AI agents? We investigate this question by extending Causal Normal Fo…
q-fin.CP2025
Causal Regime Detection in Energy Markets With Augmented Time Series Structural Causal Models
Dennis Thumm
Energy markets exhibit complex causal relationships between weather patterns, generation technologies, and price formation, with regime changes occurring continuously rather than a…