A Wadge hierarchy for second countable spaces. - Yann Pequignot (Arch. Math. Log., 2015)

Implicit Variational Inference: the Parameter and the Predictor Space. - Yann Pequignot; Mathieu Alain; Patrick Dallaire; Alireza Yeganehparast; Pascal Germain; Josée Desharnais; François Laviolette (CoRR, 2020)

Partial order: Finding Consensus among Uncertain Feature Attributions. - Gabriel Laberge; Yann Pequignot; Foutse Khomh; Mario Marchand; Alexandre Mathieu (CoRR, 2021)

How to certify machine learning based safety-critical systems? A systematic literature review. - Florian Tambon; Gabriel Laberge; Le An; Amin Nikanjam; Paulina Stevia Nouwou Mindom; Yann Pequignot; Foutse Khomh; Giulio Antoniol; Ettore Merlo; François Laviolette (Autom. Softw. Eng., 2022)

Understanding Interventional TreeSHAP : How and Why it Works. - Gabriel Laberge; Yann Pequignot (CoRR, 2022)

GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. - Mostafa ElAraby; Sabyasachi Sahoo; Yann Pequignot; Paul Novello; Liam Paull (CoRR, 2023)

Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set. - Gabriel Laberge; Yann Pequignot; Alexandre Mathieu; Foutse Khomh; Mario Marchand (J. Mach. Learn. Res., 2023)

Tackling the XAI Disagreement Problem with Regional Explanations. - Gabriel Laberge; Yann Batiste Pequignot; Mario Marchand; Foutse Khomh (AISTATS, 2024)

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers. - Jonas Ngnawé; Sabyasachi Sahoo; Yann Pequignot; Frédéric Precioso; Christian Gagné 001 (NeurIPS, 2024)

Layerwise Early Stopping for Test Time Adaptation. - Sabyasachi Sahoo; Mostafa ElAraby; Jonas Ngnawé; Yann Pequignot; Frédéric Precioso; Christian Gagné 001 (CoRR, 2024)

TrackPGD: A White-box Attack using Binary Masks against Robust Transformer Trackers. - Fatemeh Nourilenjan Nokabadi; Yann Batiste Pequignot; Jean-François Lalonde; Christian Gagné 001 (CoRR, 2024)

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods. - Paul Novello; Yannick Prudent; Joseba Dalmau; Corentin Friedrich; Yann Pequignot (CoRR, 2024)

A Layer Selection Approach to Test Time Adaptation. - Sabyasachi Sahoo; Mostafa ElAraby; Jonas Ngnawé; Yann Batiste Pequignot; Frédéric Precioso; Christian Gagné 001 (AAAI, 2025)

A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy. - Maxime Heuillet; Rishika Bhagwatkar; Jonas Ngnawé; Yann Pequignot; Alexandre Larouche; Christian Gagné 001; Irina Rish; Ola Ahmad; Audrey Durand (CoRR, 2025)