Audrey Durand

According to our database, Audrey Durand authored at least 48 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep reinforcement learning for continuous wood drying production line control.

François-Alexandre Tremblay, Audrey Durand, Michael Morin, Philippe Marier, Jonathan Gaudreault

Comput. Ind., January, 2024

Development of AI-assisted microscopy frameworks through realistic simulation with pySTED.

Anthony Bilodeau, Albert Michaud-Gagnon, Julia Chabbert, Benoît Turcotte, Jörn Heine, Audrey Durand, Flavie Lavoie-Cardinal

Nat. Mac. Intell., 2024

On shallow planning under partial observability.

Randy Lefebvre, Audrey Durand

CoRR, 2024

Neural Active Learning Meets the Partial Monitoring Framework.

Maxime Heuillet, Ola Ahmad, Audrey Durand

CoRR, 2024

GrowSpace: A reinforcement learning environment for plant architecture.

Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo, Audrey Durand

Comput. Electron. Agric., 2024

Data harmonization for Advancing research on Personalized Rehabilitation Interventions for Patients with Traumatic Brain Injury and Stroke: A proof of concept.

Dorra Rakia Allegue, Despoina Petsani, Nathalie Ponthon, Evdokimos I. Konstantinidis, Panagiotis D. Bamidis, Eva Kehayia, Audrey Durand, Sara Ahmed

Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

Association Rules Mining with Auto-encoders.

Théophile Berteloot, Richard Khoury, Audrey Durand

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Randomized Confidence Bounds for Stochastic Partial Monitoring.

Maxime Heuillet, Ola Ahmad, Audrey Durand

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm.

Louis-Philippe Vignault, Audrey Durand, Pascal Germain

J. Mach. Learn. Res., 2023

Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients.

Rupali Bhati, Jennifer Jones, Audrey Durand

CoRR, 2023

Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract).

Charles Bourbeau, Audrey Durand

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations.

Anthony Bilodeau, Constantin V. L. Delmas, Martin Parent, Paul De Koninck, Audrey Durand, Flavie Lavoie-Cardinal

Nat. Mach. Intell., 2022

Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy.

Alexandre Larouche, Audrey Durand, Richard Khoury, Caroline Sirois

CoRR, 2022

Cambrian Explosion Algorithm for Multi-Objective Association Rules Mining.

Théophile Berteloot, Richard Khoury, Audrey Durand

CoRR, 2022

Contextual bandit optimization of super-resolution microscopy.

Anthony Bilodeau, Renaud Bernatchez, Albert Michaud-Gagnon, Flavie Lavoie-Cardinal, Audrey Durand

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning.

Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract).

Renaud Bernatchez, Audrey Durand, Flavie Lavoie-Cardinal

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Exploring polypharmacy with artificial intelligence: data analysis protocol.

Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Déziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean, Marc Simard

BMC Medical Informatics Decis. Mak., 2021

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, Maxime Thibault

J. Am. Medical Informatics Assoc., 2021

GrowSpace: Learning How to Shape Plants.

Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo, Audrey Durand

CoRR, 2021

CARL: Conditional-value-at-risk Adversarial Reinforcement Learning.

Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati, Audrey Durand

CoRR, 2021

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, Anna N. Rafferty

CoRR, 2021

Routine Bandits: Minimizing Regret on Recurring Problems.

Hassan Saber, Léo Saci, Odalric-Ambrym Maillard, Audrey Durand

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

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, Maxime Thibault

CoRR, 2020

Deep interpretability for GWAS.

Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau

CoRR, 2020

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, Luc Lamontagne

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks.

Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Old Dog Learns New Tricks: Randomized UCB for Bandit Problems.

Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract).

Qizhen Zhang, Audrey Durand, Joelle Pineau

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning.

Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2019

Leveraging exploration in off-policy algorithms via normalizing flows.

Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Leveraging Observations in Bandits: Between Risks and Benefits.

Andrei Lupu, Audrey Durand, Doina Precup

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

On-Line Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Streaming kernel regression with provably adaptive mean, variance, and regularization.

Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau

J. Mach. Learn. Res., 2018

Online Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2018

Temporal Regularization for Markov Decision Process.

Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis.

Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis, Joelle Pineau

Proceedings of the Machine Learning for Healthcare Conference, 2018

Leveraging Observational Learning for Exploration in Bandits.

Andrei Lupu, Audrey Durand, Doina Precup

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Rating Super-Resolution Microscopy Images With Deep Learning.

Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy.

Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Query Completion Using Bandits for Engines Aggregation.

Audrey Durand, Jean-Alexandre Beaumont, Christian Gagné, Michel Lemay, Sébastien Paquet

CoRR, 2017

Estimating Quality in User-Guided Multi-Objective Bandits Optimization.

Audrey Durand, Christian Gagné

CoRR, 2017

Bayesian optimization for conditional hyperparameter spaces.

Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Adaptive Treatment Allocation Using Sub-Sampled Gaussian Processes.

Audrey Durand, Joelle Pineau

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014

Bayesian classification and unsupervised learning for isolating weeds in row crops.

François-Michel De Rainville, Audrey Durand, Félix-Antoine Fortin, Kevin Tanguy, Xavier Maldague, Bernard Panneton, Marie-Josée Simard

Pattern Anal. Appl., 2014

2012

Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis.

Audrey Durand, Christian Gagné, Léon Nshimyumukiza, Mathieu Gagnon, François Rousseau, Yves Giguère, Daniel Reinharz

IEEE Trans. Syst. Man Cybern. Part A, 2012

Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space.

Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2010

SCHNAPS: a generic population-based simulator for public health purposes.

Audrey Durand, Christian Gagné, Marc-André Gardner, François Rousseau, Yves Giguère, Daniel Reinharz

Proceedings of the SummerSim '10, 2010