Gabriel Laberge

19 papers A* 1A 2Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations.
CoRR
Julia Herbinger, Gabriel Laberge, Maximilian Muschalik, Yann Pequignot, Marvin N. Wright, Fabian Fumagalli
2025 J jnl
Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization.
CoRR
Lucas Langlade, Julien Ferry, Gabriel Laberge, Thibaut Vidal
2024 J jnl
Detection and evaluation of bias-inducing features in machine learning.
Empir. Softw. Eng.
Moses Openja, Gabriel Laberge, Foutse Khomh
2024 J jnl
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods.
Trans. Mach. Learn. Res.
Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
2024 J jnl
Mining Action Rules for Defect Reduction Planning.
CoRR
Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
2024 J jnl
Mining Action Rules for Defect Reduction Planning.
Proc. ACM Softw. Eng.
Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
2024 A conf
Tackling the XAI Disagreement Problem with Regional Explanations.
AISTATS
Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh
2023 J jnl
Detection and Evaluation of bias-inducing Features in Machine learning.
CoRR
Moses Openja, Gabriel Laberge, Foutse Khomh
2023 A* conf
Fooling SHAP with Stealthily Biased Sampling.
ICLR
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2023 J jnl
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods.
CoRR
Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
2023 J jnl
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set.
J. Mach. Learn. Res.
Gabriel Laberge, Yann Pequignot, Alexandre Mathieu, Foutse Khomh, Mario Marchand
2022 J jnl
Fooling SHAP with Stealthily Biased Sampling.
CoRR
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2022 J jnl
How to certify machine learning based safety-critical systems? A systematic literature review.
Autom. Softw. Eng.
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2022 J jnl
Understanding Interventional TreeSHAP : How and Why it Works.
CoRR
Gabriel Laberge, Yann Pequignot
2022 A conf
Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions.
ICSME
Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, Saikat Mondal
2021 J jnl
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review.
CoRR
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2021 J jnl
Partial order: Finding Consensus among Uncertain Feature Attributions.
CoRR
Gabriel Laberge, Yann Pequignot, Foutse Khomh, Mario Marchand, Alexandre Mathieu
2019 — conf
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning.
MLHPC@SC
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
2019 J jnl
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning.
CoRR
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine