Alexandre Drouin

发表

Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites

François Laviolette, Mathieu Blanchette, Doina Precup, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Differentiable Causal Discovery from Interventional Data pdf

Alexandre Lacoste, Alexandre Drouin, Simon Lacoste-Julien, 2020, NeurIPS.

MHC-NP: predicting peptides naturally processed by the MHC.

J. Corbeil, M. Marchand, François Laviolette, 2013, Journal of immunological methods.

GRADIENT-BASED NEURAL DAG LEARNING WITH INTERVENTIONS

S. Lacoste-Julien, Alexandre Drouin, Alexandre Lacoste, 2020 .

Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons

François Laviolette, Mike Tyers, Mario Marchand, 2016, BMC Genomics.

Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons

Maxime Déraspe, J. Corbeil, M. Marchand, 2016, BMC Genomics.

Inferring phenotypes from genotypes with machine learning : an application to the global problem of antibiotic resistance

Alexandre Drouin, 2019 .

TACTiS: Transformer-Attentional Copulas for Time Series

Alexandre Drouin, Nicolas Chapados, 'E. Marcotte, 2022, ICML.

Interpretable genotype-to-phenotype classifiers with performance guarantees

F. Raymond, J. Corbeil, M. Marchand, 2018, bioRxiv.

Emergence of an early SARS-CoV-2 epidemic in the United States

C. A. Hobbs, Gene W. Yeo, Alexandre Drouin, 2021, medRxiv.

Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance pdf

François Laviolette, Mario Marchand, Alexandre Drouin, 2015, ArXiv.

Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine pdf

François Laviolette, Mario Marchand, Alexandre Drouin, 2014, ArXiv.

Mass spectra alignment using virtual lock-masses

Dominic Gagnon, François Laviolette, Mario Marchand, 2018, bioRxiv.

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Clément Gosselin, Benoit Gosselin, François Laviolette, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Learning a peptide-protein binding affinity predictor with kernel ridge regression

J. Corbeil, M. Marchand, François Laviolette, 2012, BMC Bioinformatics.

In Search of Robust Measures of Generalization pdf

Ioannis Mitliagkas, Gintare Karolina Dziugaite, Daniel M. Roy, 2020, NeurIPS.

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark pdf

Hamed Alemohammad, Alexandre Lacoste, Evan D. Sherwin, 2021, ArXiv.

Embedding Propagation: Smoother Manifold for Few-Shot Classification

Alexandre Drouin, Alexandre Lacoste, Pau Rodr'iguez, 2020, ECCV.

Mechanistic models of Rift Valley fever virus transmission dynamics: A systematic review

Alexandre Drouin, R. Métras, V. Chevalier, 2022, medRxiv.

Large scale modeling of antimicrobial resistance with interpretable classifiers pdf

François Laviolette, Mario Marchand, Alexandre Drouin, 2016, ArXiv.

GEO-Bench: Toward Foundation Models for Earth Monitoring

Evan D. Sherwin, Pau Rodríguez López, Stefano Ermon, 2023, NeurIPS.

Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning pdf

Clément Gosselin, Benoit Gosselin, François Laviolette, 2018, ArXiv.

Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation

Y. Bengio, Alexandre Drouin, T. Deleu, 2023, 2307.04988.

Synbols: Probing Learning Algorithms with Synthetic Datasets

Alexandre Drouin, Laurent Charlin, Alexandre Lacoste, 2020, NeurIPS.

Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation

Y. Bengio, Alexandre Drouin, T. Deleu, 2023, ArXiv.

RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

Pier-Luc Plante, J. Corbeil, Alexandre Drouin, 2022, arXiv.org.

Interpretable genotype-to-phenotype classifiers with performance guarantees

François Laviolette, Mario Marchand, Alexandre Drouin, 2018, Scientific Reports.

Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning

François Laviolette, Philippe Giguère, Maxime Latulippe, 2013, IJCAI.

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts

Alexandre Drouin, Nicolas Chapados, Valentina Zantedeschi, 2023, International Conference on Machine Learning.

MHC-NP: predicting peptides naturally processed by the MHC.

J. Corbeil, M. Marchand, François Laviolette, 2013, Journal of immunological methods.

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

C. Gosselin, François Laviolette, K. Glette, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Typing assumptions improve identification in causal discovery

Alexandre Drouin, Alexandre Lacoste, Sébastien Lachapelle, 2021, CLeaR.

Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning

Ulysse Côté Allard, C. Gosselin, François Laviolette, 2018, ArXiv.

Maximum Margin Interval Trees

François Laviolette, Alexandre Drouin, Toby Hocking, 2017, NIPS.

Causal Discovery with Language Models as Imperfect Experts

Alexandre Drouin, Alexandre Piché, Valentina Zantedeschi, 2023, ArXiv.