| Tackling the XAI Disagreement Problem with Regional Explanations G Laberge, YB Pequignot, M Marchand, F Khomh International Conference on Artificial Intelligence and Statistics, 2017-2025, 2024 | 1 | 2024 |
| On the stability-plasticity dilemma in continual meta-learning: theory and algorithm Q Chen, C Shui, L Han, M Marchand Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| RKHS Weightings of Functions G Dubé, M Marchand | | 2023 |
| Algorithm-dependent bounds for representation learning of multi-source domain adaptation Q Chen, M Marchand International Conference on Artificial Intelligence and Statistics, 10368-10394, 2023 | 9 | 2023 |
| Partial order in chaos: consensus on feature attributions in the rashomon set G Laberge, Y Pequignot, A Mathieu, F Khomh, M Marchand Journal of Machine Learning Research 24 (364), 1-50, 2023 | 1 | 2023 |
| Generalization properties of decision trees on real-valued and categorical features JS Leboeuf, F LeBlanc, M Marchand arXiv preprint arXiv:2210.10781, 2022 | 1 | 2022 |
| Fool SHAP with Stealthily Biased Sampling G Laberge, U Aïvodji, S Hara, F Khomh arXiv preprint arXiv:2205.15419, 2022 | 10 | 2022 |
| Fooling shap with stealthily biased sampling U Aïvodji, S Hara, M Marchand, F Khomh The Eleventh International Conference on Learning Representations, 2022 | 2 | 2022 |
| Generalization bounds for meta-learning: An information-theoretic analysis Q Chen, C Shui, M Marchand Advances in Neural Information Processing Systems 34, 25878-25890, 2021 | 40 | 2021 |
| Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion JS Leboeuf, F LeBlanc, M Marchand arXiv preprint arXiv:2111.00062, 2021 | | 2021 |
| Partial order: Finding consensus among uncertain feature attributions G Laberge, Y Pequignot, F Khomh, M Marchand, A Mathieu arXiv preprint arXiv:2110.13369, 2021 | 6 | 2021 |
| Decision trees as partitioning machines to characterize their generalization properties JS Leboeuf, F LeBlanc, M Marchand Advances in neural information processing systems 33, 18135-18145, 2020 | 17 | 2020 |
| Mass spectra alignment using virtual lock-masses F Brochu, PL Plante, A Drouin, D Gagnon, D Richard, F Durocher, ... Scientific Reports 9 (1), 8469, 2019 | 10 | 2019 |
| Adaptive deep kernel learning P Tossou, B Dura, F Laviolette, M Marchand, A Lacoste arXiv preprint arXiv:1905.12131, 2019 | 34 | 2019 |
| Predicting ion mobility collision cross-sections using a deep neural network: DeepCCS PL Plante, É Francovic-Fontaine, JC May, JA McLean, ES Baker, ... Analytical chemistry 91 (8), 5191-5199, 2019 | 152 | 2019 |
| Interpretable genotype-to-phenotype classifiers with performance guarantees A Drouin, G Letarte, F Raymond, M Marchand, J Corbeil, F Laviolette Scientific reports 9 (1), 4071, 2019 | 117 | 2019 |
| Large scale modeling of antimicrobial resistance with interpretable classifiers A Drouin, F Raymond, GL St-Pierre, M Marchand, J Corbeil, F Laviolette arXiv preprint arXiv:1612.01030, 2016 | 11 | 2016 |
| Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons A Drouin, S Giguère, M Déraspe, M Marchand, M Tyers, VG Loo, ... BMC genomics 17, 1-15, 2016 | 140 | 2016 |
| Set Covering Machines and Reference-Free Genome Comparisons Uncover Predictive Biomarkers of Antibiotic Resistance A Drouin, S Giguère, M Déraspe, M Marchand, J Corbeil, F Laviolette | | 2016 |
| A column generation bound minimization approach with PAC-Bayesian generalization guarantees JF Roy, M Marchand, F Laviolette Artificial Intelligence and Statistics, 1241-1249, 2016 | 18 | 2016 |
Pascal GermainAssistant Professor, Université LavalVerified email at ift.ulaval.ca
