Philippe Brouillard
Philippe Brouillard
PhD student, Mila, Université de Montréal
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Cited by
Cited by
Gradient-based neural dag learning
S Lachapelle, P Brouillard, T Deleu, S Lacoste-Julien
arXiv preprint arXiv:1906.02226, 2019
Differentiable causal discovery from interventional data
P Brouillard, S Lachapelle, A Lacoste, S Lacoste-Julien, A Drouin
Advances in Neural Information Processing Systems 33, 21865-21877, 2020
Limited benefits of heterogeneous dual-task training on transfer effects in older adults
M Lussier, P Brouillard, L Bherer
Journals of Gerontology Series B: Psychological Sciences and Social Sciences …, 2017
Inter-individual predictors of pain inhibition during performance of a competing cognitive task
V Tabry, TA Vogel, M Lussier, P Brouillard, J Buhle, P Rainville, L Bherer, ...
Scientific reports 10 (1), 21785, 2020
Typing assumptions improve identification in causal discovery
P Brouillard, P Taslakian, A Lacoste, S Lachapelle, A Drouin
Conference on Causal Learning and Reasoning, 162-177, 2022
Two types of human TCR differentially regulate reactivity to self and non-self antigens
A Trofimov, P Brouillard, JD Larouche, J Séguin, JP Laverdure, A Brasey, ...
Iscience 25 (9), 2022
Apprentissage de modèles causaux par réseaux de neurones artificiels
P Brouillard
Investigation of an assessment tool on a tablet for divided attention in an elderly population: Preliminary data
M Lussier, P Brouillard, A Esmail, L Bherer
Non-Pharmacological Therapies in Dementia 3 (2), 173, 2012
Using Typed Data for Causal Fault Discovery in Networks
A Drouin, A Lacoste, P Taslakian, P Brouillard, S Lachapelle
US Patent App. 17/466,376, 2023
Gradient-based neural dag learning with interventions
P Brouillard, A Drouin, S Lachapelle, A Lacoste, S Lacoste-Julien
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