Yann Pequignot

18 papers A* 1Journal 16Unranked 1

Year	Rank	Type	Title / 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