Learning Gaussian Process Models from Uncertain Data. - Patrick Dallaire; Camille Besse; Brahim Chaib-draa (ICONIP (1), 2009)

Bayesian reinforcement learning in continuous POMDPs with gaussian processes. - Patrick Dallaire; Camille Besse; Stéphane Ross; Brahim Chaib-draa (IROS, 2009)

Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation. - Sébastien Paquet; Brahim Chaib-draa; Patrick Dallaire; Dany Bergeron (Multiagent Grid Syst., 2010)

Artificial tactile perception for surface identification using a triple axis accelerometer probe. - Patrick Dallaire; Daniel Émond; Philippe Giguère; Brahim Chaib-draa (ROSE, 2011)

An approximate inference with Gaussian process to latent functions from uncertain data. - Patrick Dallaire; Camille Besse; Brahim Chaib-draa (Neurocomputing, 2011)

Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process. - Patrick Dallaire; Philippe Giguère; Brahim Chaib-draa (AAAI, 2014)

Autonomous tactile perception: A combined improved sensing and Bayesian nonparametric approach. - Patrick Dallaire; Philippe Giguère; Daniel Émond; Brahim Chaib-draa (Robotics Auton. Syst., 2014)

Learning terrain types with the Pitman-Yor process mixtures of Gaussians for a legged robot. - Patrick Dallaire; Krzysztof Walas; Philippe Giguère; Brahim Chaib-draa (IROS, 2015)

Tree bark re-identification using a deep-learning feature descriptor. - Martin Robert; Patrick Dallaire; Philippe Giguère (CRV, 2020)

The Indian Chefs Process. - Patrick Dallaire; Luca Ambrogioni; Ludovic Trottier; Umut Güçlü; Max Hinne; Philippe Giguère; Marcel van Gerven; François Laviolette (UAI, 2020)

The Indian Chefs Process. - Patrick Dallaire; Luca Ambrogioni; Ludovic Trottier; Umut Güçlü; Max Hinne; Philippe Giguère; Brahim Chaib-draa; Marcel van Gerven; François Laviolette (CoRR, 2020)

Implicit Variational Inference: the Parameter and the Predictor Space. - Yann Pequignot; Mathieu Alain; Patrick Dallaire; Alireza Yeganehparast; Pascal Germain; Josée Desharnais; François Laviolette (CoRR, 2020)

Contrastive Maximum Mean Discrepancy for Unsupervised Domain Adaptation Applied to Large Scale 3D LiDAR Semantic Segmentation. - Lamiae El Mendili; Sylvie Daniel; Thierry Badard; Patrick Dallaire (BMVC Workshop, 2023)

Learning self-supervised molecular representations for drug-drug interaction prediction. - Rogia Kpanou; Patrick Dallaire; Elsa Rousseau; Jacques Corbeil (BMC Bioinform., 2024)