Adrien Bennetot

According to our database, Adrien Bennetot authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Practical Tutorial on Explainable AI Techniques.

Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur d'Avila Garcez, Natalia Díaz Rodríguez

ACM Comput. Surv., February, 2025

2024

T-Rep: Representation Learning for Time Series using Time-Embeddings.

Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

A Neural-Symbolic learning framework to produce interpretable predictions for image classification. (Modèle d'apprentissage neuro-symbolique pour produire des prédictions interprétables pour de la classification d'imagines).

Adrien Bennetot

PhD thesis, 2022

Explaining <i>Aha!</i> moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI.

Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia Díaz Rodríguez

Neural Networks, 2022

Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification.

Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez

Knowl. Based Syst., 2022

2020

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.

Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera

Inf. Fusion, 2020

Should artificial agents ask for help in human-robot collaborative problem-solving?

Adrien Bennetot, Vicky Charisi, Natalia Díaz Rodríguez

CoRR, 2020

2019

Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning.

Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez

CoRR, 2019

Towards Explainable Neural-Symbolic Visual Reasoning.

Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Díaz Rodríguez

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019