Audrey Durand

Mila > About Mila > Team > Audrey Durand
Associate Academic Member
Audrey Durand
Assistant Professor, Professeure adjointe, Université Laval
Audrey Durand

Audrey Durand is an Assistant Professor in the Department of Computer Science and Software Engineering and the Department of Electrical and Computer Engineering at Université Laval. She specializes in algorithms that learn through interaction with their environment using reinforcement learning and is particularly interested in leveraging these approaches in health-related applications.

Publications

2021-09

Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data.
M. Godbout, A. Lachance, F. Antaki, A. Dirani and A. Durand
arXiv preprint arXiv:2109.09463
(2021-09-20)
dblp.uni-trier.dePDF
CARL: Conditional-value-at-risk Adversarial Reinforcement Learning.
Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati and Audrey Durand
arXiv preprint arXiv:2109.09470
(2021-09-20)
ui.adsabs.harvard.edu
Routine Bandits: Minimizing Regret on Recurring Problems.
Hassan Saber, Léo Saci, Odalric-Ambrym Maillard and Audrey Durand
ECML 2021
(2021-09-13)
hal.archives-ouvertes.frPDF

2021-08

Increased responsiveness to punishment of cocaine self-administration after experience with high punishment.
Audrey Durand, Paul Girardeau, Luana Freese and Serge H. Ahmed
Neuropsychopharmacology
(2021-08-24)
www-nature-com-443.webvpn.bjmu.tsg211.com

2021-07

Pharmacists' perceptions of a machine learning model for the identification of atypical medication orders.
Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand and Maxime Thibault
Journal of the American Medical Informatics Association
(2021-07-30)
academic.oup.com
Exploring polypharmacy with artificial intelligence: data analysis protocol.
Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean and Marc Simard
BMC Medical Informatics and Decision Making
(2021-07-20)
bmcmedinformdecismak.biomedcentral.comPDF

2021-06

GrowSpace: Learning How to Shape Plants
Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo and Audrey Durand
arXiv preprint arXiv:2110.08307
(2021-06-08)
dblp.uni-trier.dePDF

2021-03

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand and Anna N. Rafferty
arXiv preprint arXiv:2103.12198
(2021-03-22)
dblp.uni-trier.dePDF

2020-11

Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model.
Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand and Maxime Thibault
arXiv preprint arXiv:2011.01925
(2020-11-03)
ui.adsabs.harvard.eduPDF

2020-10

MICRA-Net: MICRoscopy Analysis Neural Network to solve detection, classification, and segmentation from a single simple auxiliary task
Flavie Lavoie-Cardinal, Anthony Bilodeau, Constantin Delmas, Martin Parent, Paul De Koninck and Audrey Durand
bioRxiv
(2020-10-29)
www.researchsquare.comPDF

2020-07

Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Maxime Wabartha, Audrey Durand, Vincent François-Lavet and Joelle Pineau
IJCAI 2020
(2020-07-09)
www.ijcai.orgPDF
Deep interpretability for GWAS.
Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé and Joelle Pineau
arXiv preprint arXiv:2007.01516
(2020-07-03)
ui.adsabs.harvard.eduPDF
Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study
Vincenzo Forgetta, Julyan Keller-Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John P Kemp, Maria Nethander, Daniel Evans, John A Morris, Douglas P Kiel, Fernando Rivadeneira, Helena Johansson, Nicholas C Harvey, Dan Mellström, Magnus Karlsson, Cyrus Cooper, David M Evans, Robert Clarke, John A Kanis, Eric Orwoll... (6 more)
PLOS Medicine
(2020-07-02)
doaj.orgPDF

2020-06

Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
Sharan Vaswani, Abbas Mehrabian, Audrey Durand and Branislav Kveton

2020-05

A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand and Luc Lamontagne

2020-04

Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract)
Qizhen Zhang, Audrey Durand and Joelle Pineau
AAAI 2020
(2020-04-03)
aiide.org

2020-01

Machine learning to predict osteoporotic fracture risk from genotypes
Vincenzo Forgetta, Julyan Keller-Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John Kemp, John A. Morris, John A. Kanis, Douglas P. Kiel, Eugene V. McCloskey, Fernando Rivadeneira, Helena Johannson, Nicholas Harvey, Cyrus Cooper, David M. Evans, Joelle Pineau, William D. Leslie, Celia M. T. Greenwood and J. Brent Richards

2019-09

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau and R Devon Hjelm
arXiv: Learning
(2019-09-25)
ui.adsabs.harvard.eduPDF

2019-07

Leveraging Observations in Bandits: Between Risks and Benefits
Andrei Lupu, Audrey Durand and Doina Precup
AAAI 2019
(2019-07-17)
aimagazine.org
On-line Adaptative Curriculum Learning for GANs
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau and R. Devon Hjelm

2019-05

Leveraging exploration in off-policy algorithms via normalizing flows
Bogdan Mazoure, Thang Doan, Audrey Durand, R Devon Hjelm and Joelle Pineau
arXiv preprint arXiv:1905.06893
(2019-05-16)
ui.adsabs.harvard.eduPDF

2019-01

Leveraging exploration in off-policy algorithms via normalizing flows.
Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau and R. Devon Hjelm
Conference on Robot Learning
(2019-01-01)
proceedings.mlr.pressPDF

2018-11

Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis
Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis and Joelle Pineau
Machine Learning for Healthcare Conference
(2018-11-29)
proceedings.mlr.pressPDF
Temporal Regularization in Markov Decision Process
arXiv: Learning
(2018-11-01)
ui.adsabs.harvard.eduPDF

2018-07

Leveraging Observational Learning for Exploration in Bandits
Andrei Lupu, Audrey Durand and Doina Precup
AAMAS 2018
(2018-07-09)
dblp.uni-trier.de

2018-01

Genomic Prediction of Osteoporosis Using 426,000 Individuals from UK Biobank
Vincenzo Forgetta, Julyan Keller-Baruch, Marie Forest, Audrey Durand, Sahir Bhatnagar, John Kemp, John Morris, John Kanis, Douglas Kiel, Eugene Mccloskey, Helena Johansson, Nicholas Harvey, Dave Evans, Joelle Pineau, William Leslie, Celia M. T. Greenwood and J. Brent Richards
Journal of Bone and Mineral Research
(2018-01-01)
espace.library.uq.edu.au
Temporal Regularization for Markov Decision Process
NEURIPS 2018
(2018-01-01)
papers.nips.ccPDF
Streaming kernel regression with provably adaptive mean, variance, and regularization
Audrey Durand, Odalric-Ambrym Maillard and Joelle Pineau
Journal of Machine Learning Research
(2018-01-01)
ui.adsabs.harvard.eduPDF

Publications collected and formatted using Paperoni

array(1) { ["wp-wpml_current_language"]=> string(2) "en" }