Agustin M. Picard

According to our database, Agustin M. Picard authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures.

Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability.

Antonin Poché, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

Agustin M. Picard, Lucas Hervier, Thomas Fel, David Vigouroux

Proceedings of the Explainable Artificial Intelligence, 2024

2023

TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability.

Fanny Jourdan, Louis Béthune, Agustin M. Picard, Laurent Risser, Nicholas Asher

CoRR, 2023

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre

CoRR, 2023

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks.

Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher

CoRR, 2023

Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning.

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

Algorithms, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin M. Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CRAFT: Concept Recursive Activation FacTorization for Explainability.

Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP.

Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

2021

Quantifying Truncation-Related Uncertainties in Unsteady Fluid Dynamics Reduced Order Models.

Valentin Resseguier, Agustin M. Picard, Étienne Mémin, Bertrand Chapron

SIAM/ASA J. Uncertain. Quantification, 2021