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ORCIDAgustin M. Picard
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- affiliation: Institut de Recherche Technologique Saint-Exupery, Toulouse, France
- affiliation: Artificial and Natural Intelligence Toulouse Institute, France
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2020 – today
- 2025
[c6]Antonin Poché, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan:
ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. ACL (1) 2025: 5594-5615- [c5]Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier:
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures. ICML 2025 - [i9]Antonin Poché, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan:
ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. CoRR abs/2501.05855 (2025) - [i8]Thibaut Boissin, Franck Mamalet, Thomas Fel
, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier:
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures. CoRR abs/2501.07930 (2025) - [i7]Agustin Martin Picard, Thibaut Boissin, Varshini Subhash, Rémi Cadène, Thomas Fel:
Back to the Baseline: Examining Baseline Effects on Explainability Metrics. CoRR abs/2512.11433 (2025) - 2024
- [c4]Agustin M. Picard, Lucas Hervier, Thomas Fel, David Vigouroux:
Influenciæ: A Library for Tracing the Influence Back to the Data-Points. xAI (4) 2024: 193-204 - 2023
- [j2]Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes:
Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. Algorithms 16(11): 510 (2023) - [c3]Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. ACL (Findings) 2023: 5120-5136 - [c2]Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre:
CRAFT: Concept Recursive Activation FacTorization for Explainability. CVPR 2023: 2711-2721 - [c1]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:
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS 2023 - [i6]Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. CoRR abs/2305.06754 (2023) - [i5]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre:
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR abs/2306.06805 (2023) - [i4]Fanny Jourdan, Louis Béthune, Agustin M. Picard, Laurent Risser, Nicholas Asher:
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. CoRR abs/2312.06499 (2023) - 2022
- [i3]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:
Xplique: A Deep Learning Explainability Toolbox. CoRR abs/2206.04394 (2022) - [i2]Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes:
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis. CoRR abs/2210.04491 (2022) - [i1]Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre:
CRAFT: Concept Recursive Activation FacTorization for Explainability. CoRR abs/2211.10154 (2022) - 2021
- [j1]Valentin Resseguier, Agustin M. Picard, Étienne Mémin, Bertrand Chapron:
Quantifying Truncation-Related Uncertainties in Unsteady Fluid Dynamics Reduced Order Models. SIAM/ASA J. Uncertain. Quantification 9(3): 1152-1183 (2021)
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