Álvaro Parafita

According to our database, Álvaro Parafita authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Exactly Computing do-Shapley Values.

R. Teal Witter, Álvaro Parafita, Tomas Garriga, Maximilian Muschalik, Fabian Fumagalli, Axel Brando, Lucas Rosenblatt

CoRR, February, 2026

2025

CID: Measuring Feature Importance Through Counterfactual Distributions.

Eddie Conti, Álvaro Parafita, Axel Brando

CoRR, November, 2025

Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference.

Álvaro Parafita, Tomas Garriga, Axel Brando, Francisco J. Cazorla

CoRR, September, 2025

Probing the Embedding Space of Transformers via Minimal Token Perturbations.

Eddie Conti, Alejandro Astruc, Álvaro Parafita, Axel Brando

CoRR, June, 2025

2022

Estimand-Agnostic Causal Query Estimation With Deep Causal Graphs.

Álvaro Parafita, Jordi Vitrià

IEEE Access, 2022

2021

Algorithmic Causal Effect Identification with causaleffect.

Martí Pedemonte, Jordi Vitrià, Álvaro Parafita

CoRR, 2021

Deep Causal Graphs for Causal Inference, Black-Box Explainability and Fairness.

Álvaro Parafita, Jordi Vitrià

Proceedings of the Artificial Intelligence Research and Development, 2021

2020

Causal Inference with Deep Causal Graphs.

Álvaro Parafita, Jordi Vitrià

CoRR, 2020

2019

Explaining Visual Models by Causal Attribution.

Álvaro Parafita, Jordi Vitrià

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019