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2020 – today
- 2024
[j4]Rogia Kpanou, Patrick Dallaire, Elsa Rousseau, Jacques Corbeil:
Learning self-supervised molecular representations for drug-drug interaction prediction. BMC Bioinform. 25(1): 47 (2024)- 2023
- [c8]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 - 2020
- [c7]Martin Robert, Patrick Dallaire, Philippe Giguère
:
Tree bark re-identification using a deep-learning feature descriptor. CRV 2020: 25-32 - [c6]Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel van Gerven, François Laviolette:
The Indian Chefs Process. UAI 2020: 600-608 - [i3]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 abs/2001.10657 (2020) - [i2]Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette:
Implicit Variational Inference: the Parameter and the Predictor Space. CoRR abs/2010.12995 (2020)
2010 – 2019
- 2019
- [i1]Martin Robert, Patrick Dallaire, Philippe Giguère:
Tree bark re-identification using a deep-learning feature descriptor. CoRR abs/1912.03221 (2019) - 2015
- [c5]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: 3457-3463 - 2014
- [j3]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): 422-435 (2014) - [c4]Patrick Dallaire, Philippe Giguère, Brahim Chaib-draa:
Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process. AAAI 2014: 1774-1780 - 2011
- [j2]Patrick Dallaire, Camille Besse, Brahim Chaib-draa:
An approximate inference with Gaussian process to latent functions from uncertain data. Neurocomputing 74(11): 1945-1955 (2011) - [c3]Patrick Dallaire, Daniel Émond, Philippe Giguère, Brahim Chaib-draa:
Artificial tactile perception for surface identification using a triple axis accelerometer probe. ROSE 2011: 101-106 - 2010
- [j1]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): 293-314 (2010)
2000 – 2009
- 2009
- [c2]Patrick Dallaire, Camille Besse, Brahim Chaib-draa:
Learning Gaussian Process Models from Uncertain Data. ICONIP (1) 2009: 433-440 - [c1]Patrick Dallaire, Camille Besse, Stéphane Ross, Brahim Chaib-draa:
Bayesian reinforcement learning in continuous POMDPs with gaussian processes. IROS 2009: 2604-2609
Coauthor Index
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