Explaining Visual Models by Causal Attribution. - Álvaro Parafita; Jordi Vitrià (ICCV Workshops, 2019)

Causal Inference with Deep Causal Graphs. - Álvaro Parafita; Jordi Vitrià (CoRR, 2020)

Deep Causal Graphs for Causal Inference, Black-Box Explainability and Fairness. - Álvaro Parafita; Jordi Vitrià (CCIA, 2021)

Algorithmic Causal Effect Identification with causaleffect. - Martí Pedemonte; Jordi Vitrià; Álvaro Parafita (CoRR, 2021)

Estimand-Agnostic Causal Query Estimation With Deep Causal Graphs. - Álvaro Parafita; Jordi Vitrià (IEEE Access, 2022)

Probing the Embedding Space of Transformers via Minimal Token Perturbations. - Eddie Conti; Alejandro Astruc; Álvaro Parafita; Axel Brando (CoRR, 2025)