3 papers
cs.AI2026
From Type to Token: Petri Nets, Individual Token Philosophy, and Individualized Causal Effects
Fernando Delbianco, Fernando Tohmé, Gustavo Bodanza
Structural Causal Models and Bayesian Networks are the dominant framework for representing causal relations. They are fundamentally type-level formalisms since their estimands, Ave…
cs.CR2026
Watermarking: from Impossibility to Auditable Compliance
Fernando Delbianco, Fernando Tohmé, Hugo Acciarri
Article 50 (2) of the EU Artificial Intelligence Act requires providers of generative systems to make synthetic outputs machine-readable and detectable, while qualifying the effect…
stat.ME2026
Local conformal prediction for individual causal effects
Fernando Delbianco, Fernando Tohme, Fernando Tohmé
Standard CATE estimators become inadequate under strong treatment-effect heterogeneity: confidence intervals for conditional means need not cover individual counterfactual effects.…