Yann Pequignot

18 papers A* 1Journal 16Unranked 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
A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy.
CoRR
Maxime Heuillet, Rishika Bhagwatkar, Jonas Ngnawé, Yann Pequignot, Alexandre Larouche, Christian Gagné, Irina Rish, Ola Ahmad, Audrey Durand
2025 J jnl
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs.
CoRR
Mina Taraghi, Yann Pequignot, Amin Nikanjam, Mohamed Amine Merzouk, Foutse Khomh
2025 J jnl
GROOD: GRadient-Aware Out-of-Distribution Detection.
Trans. Mach. Learn. Res.
Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
2025 J jnl
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling.
CoRR
Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frédéric Precioso, Christian Gagné
2025 — conf
Towards Collecting Real-Time Vigilance Measures for Adaptive Training in Safety-Critical Domains.
HCI (81)
Alexandre Marois, Andra Mahu, Jonay Ramon Alaman, Florian Tambon, Yann Pequignot, Tanya S. Paul, Benoit Ouellette, Philippe Doyon-Poulin
2024 A* conf
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers.
NeurIPS
Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
2024 J jnl
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers.
CoRR
Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
2024 J jnl
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods.
CoRR
Paul Novello, Yannick Prudent, Joseba Dalmau, Corentin Friedrich, Yann Pequignot
2024 J jnl
Layerwise Early Stopping for Test Time Adaptation.
CoRR
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Pequignot, Frédéric Precioso, Christian Gagné
2023 J jnl
GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds.
CoRR
Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
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
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
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
2020 J jnl
Implicit Variational Inference: the Parameter and the Predictor Space.
CoRR
Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette
2015 J jnl
A Wadge hierarchy for second countable spaces.
Arch. Math. Log.
Yann Pequignot