Seuraa
Patrick Dallaire
Patrick Dallaire
Vahvistettu sähköpostiosoite verkkotunnuksessa ift.ulaval.ca - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Autonomous tactile perception: A combined improved sensing and Bayesian nonparametric approach
P Dallaire, P Giguère, D Émond, B Chaib-Draa
Robotics and autonomous systems 62 (4), 422-435, 2014
842014
Bayesian reinforcement learning in continuous POMDPs with Gaussian processes
P Dallaire, C Besse, S Ross, B Chaib-draa
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009
522009
Learning Gaussian process models from uncertain data
P Dallaire, C Besse, B Chaib-Draa
Neural Information Processing: 16th International Conference, ICONIP 2009 …, 2009
412009
An approximate inference with Gaussian process to latent functions from uncertain data
P Dallaire, C Besse, B Chaib-Draa
Neurocomputing 74 (11), 1945-1955, 2011
322011
Learning terrain types with the pitman-yor process mixtures of gaussians for a legged robot
P Dallaire, K Walas, P Giguere, B Chaib-draa
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
202015
Artificial tactile perception for surface identification using a triple axis accelerometer probe
P Dallaire, D Emond, P Giguere, B Chaib-Draa
2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE …, 2011
132011
Tree bark re-identification using a deep-learning feature descriptor
M Robert, P Dallaire, P Giguère
2020 17th Conference on Computer and Robot Vision (CRV), 25-32, 2020
72020
Learning the structure of probabilistic graphical models with an extended cascading Indian buffet process
P Dallaire, P Giguere, B Chaib-draa
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
62014
Implicit variational inference: the parameter and the predictor space
Y Pequignot, M Alain, P Dallaire, A Yeganehparast, P Germain, ...
arXiv preprint arXiv:2010.12995, 2020
12020
Apprentissage par renforcement Bayésien de processus décisionnels de Markov partiellement observables: une approche basée sur les processus Gaussiens
P Dallaire
Université Laval, 2010
12010
Task allocation learning in a multiagent environment: Application to the robocuprescue simulation
S Paquet, B Chaib-draa, P Dallaire, D Bergeron
Multiagent and Grid Systems 6 (4), 293-314, 2010
12010
Out-of-distribution detection for regression tasks: parameter versus predictor entropy
Y Pequignot, M Alain, P Dallaire, A Yeganehparast, P Germain, ...
2023
Contrastive Maximum Mean Discrepancy for Unsupervised Domain Adaptation Applied to Large Scale 3D LiDAR Semantic Segmentation
L El Mendili, S Daniel, T Badard, P Dallaire
2023
The Indian chefs process
P Dallaire, L Ambrogioni, L Trottier, U Güçlü, M Hinne, P Giguère, ...
Conference on Uncertainty in Artificial Intelligence, 600-608, 2020
2020
Bayesian Nonparametric Deep Learning
P Dallaire, L Trottier, P Giguère, B Chaib-draa, F Laviolette
Bayesian Deep Learning NeurIPS 2019 Workshop, 2019
2019
Bayesian nonparametric latent variable models
P Dallaire
Université Laval, 2016
2016
Inference with conjugate Indian Buffet process
P Dallaire
2010
Reinforcement Learning with Gaussian Processes
P Dallaire
2009
Learning in continuous POMDP with Gaussian Processes
P Dallaire
2008
Learning with Gaussian Processes
P Dallaire
2008
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Artikkelit 1–20