Talks

2021

Differentiable Causal Discovery with Observational and Interventional Data

Knowledge of the causal structure that underlies a data generating process is essential to answering questions of causal nature. Such …
Feb 16, 2021 12:00 AM OATML, University of Oxford
Slides Video

2019

La recherche en intelligence artificielle

Nov 27, 2019 12:00 AM Collège Gérald-Godin, Montréal, Canada

Genotype-to-phenotype prediction of antimicrobial resistance

May 2, 2019 12:00 AM AI for Health, Montréal, Canada
Video

2017

Machine learning for antibiotic resistance: from rule-based models to deep architectures

Oct 24, 2017 12:00 AM Argonne National Laboratory, Lemont, Illinois

Maximum Margin Interval Trees

May 24, 2017 12:00 AM Département d'informatique et de génie logiciel, Université Laval, Québec, Canada
Slides

Rule-based machine learning algorithms for antibiotic resistance prediction

May 16, 2017 12:00 AM GLBIO 2017, Chicago, Illinois
Slides

Interpretable Models of Antibiotic Resistance with the Set Covering Machine Algorithm

Feb 25, 2017 12:00 AM Google, Cambridge, Massachusetts
Slides Video

2016

Large scale modeling of antimicrobial resistance with interpretable classifiers

Dec 7, 2016 12:00 AM Machine Learning for Health Workshop, NIPS, Barcelona, Spain
Slides

Kover: un nouvel outil à base d’apprentissage automatique pour la découverte de biomarqueurs génomiques

Jun 28, 2016 12:00 AM Institut de Biologie Intégrative et des Systèmes, Québec, Canada
Slides

Learning Extremely Sparse Classifiers from Whole Genomes Sequences with Set Covering Machines

Feb 16, 2016 12:00 AM Inria (SIERRA Team), Paris, France
Slides

2015

Genomic Biomarker Discovery with Set Covering Machines

Jul 27, 2015 12:00 AM Institut Curie, Paris, France
Slides