Patrick Dallaire

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 7

Top Topics

Mixtures Of Gaussians

Top Venues

Robotics Auton. Syst.

Publications

Rogia Kpanou, Patrick Dallaire, Elsa Rousseau, Jacques Corbeil
Learning self-supervised molecular representations for drug-drug interaction prediction. BMC Bioinform. 25 (1) (2024)
Lamiae El Mendili, Sylvie Daniel, Thierry Badard, Patrick Dallaire
Contrastive Maximum Mean Discrepancy for Unsupervised Domain Adaptation Applied to Large Scale 3D LiDAR Semantic Segmentation. BMVC Workshop (2023)
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven, François Laviolette
The Indian Chefs Process. CoRR (2020)
Martin Robert, Patrick Dallaire, Philippe Giguère
Tree bark re-identification using a deep-learning feature descriptor. CRV (2020)
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel van Gerven, François Laviolette
The Indian Chefs Process. UAI (2020)
Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette
Implicit Variational Inference: the Parameter and the Predictor Space. CoRR (2020)
Martin Robert, Patrick Dallaire, Philippe Giguère
Tree bark re-identification using a deep-learning feature descriptor. CoRR (2019)
Patrick Dallaire, Krzysztof Walas, Philippe Giguère, Brahim Chaib-draa
Learning terrain types with the Pitman-Yor process mixtures of Gaussians for a legged robot. IROS (2015)
Patrick Dallaire, Philippe Giguère, Daniel Émond, Brahim Chaib-draa
Autonomous tactile perception: A combined improved sensing and Bayesian nonparametric approach. Robotics Auton. Syst. 62 (4) (2014)
Patrick Dallaire, Philippe Giguère, Brahim Chaib-draa
Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process. AAAI (2014)
Patrick Dallaire, Daniel Émond, Philippe Giguère, Brahim Chaib-draa
Artificial tactile perception for surface identification using a triple axis accelerometer probe. ROSE (2011)
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
An approximate inference with Gaussian process to latent functions from uncertain data. Neurocomputing 74 (11) (2011)
Sébastien Paquet, Brahim Chaib-draa, Patrick Dallaire, Dany Bergeron
Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation. Multiagent Grid Syst. 6 (4) (2010)
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
Learning Gaussian Process Models from Uncertain Data. ICONIP (1) (2009)
Patrick Dallaire, Camille Besse, Stéphane Ross, Brahim Chaib-draa
Bayesian reinforcement learning in continuous POMDPs with gaussian processes. IROS (2009)