Alexandre Drouin
Alexandre Drouin
Lead Research Scientist, ServiceNow -- Adjunct Professor of Computer Science, Université Laval.
Verified email at elementai.com - Homepage
Title
Cited by
Year
Typing assumptions improve identification in causal discovery
P Brouillard, P Taslakian, A Lacoste, S Lachapelle, A Drouin
arXiv preprint arXiv:2107.10703, 2021
2021
byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings
X Zhang, A Drouin, R Li
arXiv preprint arXiv:2106.13302, 2021
2021
Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites
F Ahsan, A Drouin, F Laviolette, D Precup, M Blanchette
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
12020
In search of robust measures of generalization
GK Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ...
arXiv preprint arXiv:2010.11924, 2020
162020
In Search of Robust Measures of Generalization
G Karolina Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ...
arXiv e-prints, arXiv: 2010.11924, 2020
2020
Synbols: Probing learning algorithms with synthetic datasets
A Lacoste, P Rodríguez, F Branchaud-Charron, P Atighehchian, M Caccia, ...
arXiv preprint arXiv:2009.06415, 2020
72020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
P Rodríguez, I Laradji, A Drouin, A Lacoste
ECCV 2020, 2020
502020
Differentiable causal discovery from interventional data
P Brouillard, S Lachapelle, A Lacoste, S Lacoste-Julien, A Drouin
arXiv preprint arXiv:2007.01754, 2020
122020
Gradient-based Neural DAG Learning with Interventions
P Brouillard, A Drouin, S Lachapelle, A Lacoste, S Lacoste-Julien
Workshop on Causal Learning for Decision Making, ICLR 2020, 2020
2020
Mass spectra alignment using virtual lock-masses
F Brochu, PL Plante, A Drouin, D Gagnon, D Richard, F Durocher, ...
Scientific reports 9 (1), 1-15, 2019
52019
Interpretable genotype-to-phenotype classifiers with performance guarantees
A Drouin, G Letarte, F Raymond, M Marchand, J Corbeil, F Laviolette
Scientific reports 9 (1), 1-13, 2019
512019
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
2452019
Inferring phenotypes from genotypes with machine learning: an application to the global problem of antibiotic resistance
A Drouin
2019
Deep learning for electromyographic hand gesture signal classification by leveraging transfer learning
U Cotê-Allard, CL Fall, A Drouin, A Campeau-Lecours, C Gosselin, ...
arXiv preprint arXiv:1801.07756, 2018
232018
Maximum margin interval trees
A Drouin, TD Hocking, F Laviolette
arXiv preprint arXiv:1710.04234, 2017
62017
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
62016
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
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
772016
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance
A Drouin, S Giguère, M Déraspe, F Laviolette, M Marchand, J Corbeil
arXiv preprint arXiv:1505.06249, 2015
2015
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
82014
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Articles 1–20