Alexandre Drouin
Alexandre Drouin
Lead Research Scientist, ServiceNow Research -- Adjunct Professor of Computer Science, ULaval
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Bioconda: sustainable and comprehensive software distribution for the life sciences
B Grüning, R Dale, A Sjödin, BA Chapman, J Rowe, CH Tomkins-Tinch, ...
Nature methods 15 (7), 475-476, 2018
Deep learning for electromyographic hand gesture signal classification using transfer learning
U Côté-Allard, CL Fall, A Drouin, A Campeau-Lecours, C Gosselin, ...
IEEE transactions on neural systems and rehabilitation engineering 27 (4 …, 2019
Embedding Propagation: Smoother Manifold for Few-Shot Classification
P Rodríguez, I Laradji, A Drouin, A Lacoste
ECCV 2020, 2020
Differentiable causal discovery from interventional data
P Brouillard, S Lachapelle, A Lacoste, S Lacoste-Julien, A Drouin
Advances in Neural Information Processing Systems 33, 21865-21877, 2020
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), 754, 2016
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
In search of robust measures of generalization
GK Dziugaite*, A Drouin*, B Neal, N Rajkumar, E Caballero, L Wang, ...
Advances in Neural Information Processing Systems 33, 11723-11733, 2020
MHC-NP: predicting peptides naturally processed by the MHC
S Giguère, A Drouin, A Lacoste, M Marchand, J Corbeil, F Laviolette
Journal of immunological methods 400, 30-36, 2013
Learning a peptide-protein binding affinity predictor with kernel ridge regression
S Giguere, M Marchand, F Laviolette, A Drouin, J Corbeil
BMC bioinformatics 14, 1-16, 2013
Lag-llama: Towards foundation models for probabilistic time series forecasting
K Rasul, A Ashok, AR Williams, H Ghonia, R Bhagwatkar, A Khorasani, ...
arXiv preprint arXiv:2310.08278, 2024
TACTiS: Transformer-attentional copulas for time series
A Drouin, É Marcotte, N Chapados
International Conference on Machine Learning, 5447-5493, 2022
Toward foundation models for earth monitoring: Proposal for a climate change benchmark
A Lacoste, ED Sherwin, H Kerner, H Alemohammad, B Lütjens, J Irvin, ...
arXiv preprint arXiv:2112.00570, 2021
Synbols: Probing learning algorithms with synthetic datasets
A Lacoste, P Rodríguez López, F Branchaud-Charron, P Atighehchian, ...
Advances in Neural Information Processing Systems 33, 134-146, 2020
Geo-bench: Toward foundation models for earth monitoring
A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ...
Advances in Neural Information Processing Systems 36, 2024
Causal discovery with language models as imperfect experts
S Long, A Piché, V Zantedeschi, T Schuster, A Drouin
arXiv preprint arXiv:2307.02390, 2023
Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning
M Latulippe, A Drouin, P Giguère, F Laviolette
Proceedings of the Twenty-Third International Joint Conference on Artificial …, 2013
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
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
A Drouin, S Giguere, V Sagatovich, M Déraspe, F Laviolette, M Marchand, ...
arXiv preprint arXiv:1412.1074, 2014
Typing assumptions improve identification in causal discovery
P Brouillard, P Taslakian, A Lacoste, S Lachapelle, A Drouin
Conference on Causal Learning and Reasoning, 162-177, 2022
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
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