Lucas Hervier

According to our database, Lucas Hervier authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Influenciæ: A Library for Tracing the Influence Back to the Data-Points.

Agustin Picard, Lucas Hervier, Thomas Fel, David Vigouroux

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning.

Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes

Algorithms, 2023

Natural Example-Based Explainability: A Survey.

Antonin Poché, Lucas Hervier, Mohamed Chafik Bakkay

Proceedings of the Explainable Artificial Intelligence, 2023

2022

A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis.

Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes

CoRR, 2022

Xplique: A Deep Learning Explainability Toolbox.

Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Martin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre

CoRR, 2022