| 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 | 86 | 2014 |
| 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 | 51 | 2009 |
| Learning Gaussian process models from uncertain data P Dallaire, C Besse, B Chaib-Draa Neural Information Processing: 16th International Conference, ICONIP 2009 …, 2009 | 43 | 2009 |
| 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 | 34 | 2011 |
| 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 | 20 | 2015 |
| 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 | 14 | 2011 |
| 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 | 9 | 2020 |
| 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 | 6 | 2014 |
| Implicit variational inference: the parameter and the predictor space Y Pequignot, M Alain, P Dallaire, A Yeganehparast, P Germain, ... Preprint.(https://arxiv. org/abs/2010.12995), 2020 | 2 | 2020 |
| Apprentissage par renforcement Bayésien de processus décisionnels de Markov partiellement observables: une approche basée sur les processus Gaussiens P Dallaire | 1 | 2010 |
| 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 | 1 | 2010 |
| 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 BMVC Workshop, 2023 | | 2023 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy Y Pequignot, M Alain, P Dallaire, A Yeganehparast, P Germain, ... arXiv preprint arXiv:2010.12995, 2020 | | 2020 |
| 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 |
Philippe GiguèreProfessor, Computer Science, Laval University, Norlab, DAMAS, CerVIM, REPARTI, CRDM, FORAC, IIDVerified email at ift.ulaval.ca
