Audrey Durand
About
Appointed Canada CIFAR AI Chair – 2019
Renewed Canada CIFAR AI Chair – 2024
Audrey Durand is a Canada CIFAR AI Chair at Mila and an assistant professor in the department of computer science and software engineering and the department of electrical and computer engineering at Université Laval.
Durand specializes in the development of methods that learn through interactions with their environment, such as reinforcement learning and bandits. She is particularly interested in leveraging these approaches in scientific applications.
Awards
- NSERC Postgraduate Scholarship, 2012
- FRQ-NT Doctoral Research Scholarship, 2011
Relevant Publications
- Hitti, Y., Buzatu, I., Del Verme, M. , Lefsrud, M., Golemo, F., & Durand, A. (2024) GrowSpace: A reinforcement learning environment for plant architecture. Computers and Electronics in Agriculture 217.
- Tremblay, F.-A., Durand, A., Morin, M., Marier, P., & Gaudreault. J. (2023) Deep reinforcement learning for continuous wood drying production line control”. Computers in Industry.
- Vigneault, L.-P., Durand, A., & Germain, P. (2023) Erratum: Risk bounds for the majority vote: From a PAC-bayesian analysis to a learning algorithm. Journal of Machine Learning Research.
- Bilodeau, A., Delmas, C.V.L., Parent, M., De Koninck, P., Durand, A., & Lavoie-Cardinal, F. (2022). Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations. Nature Machine Intelligence, 4, 455–466.
- Saber, H., Saci, L., Maillard, O.-A., & Durand, A. (2021) Routine bandits: Minimizing regret on recurring problems. European Conference on Machine Learning.
Hogue, S. C., Chen, F., Brassard, G., Lebel, D., Bussières, J. F., Durand, A., & Thibault, M. (2021). Pharmacists’ perceptions of a machine learning model for the identification of atypical medication orders. Journal of the American Medical Informatics Association.