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Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

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2020-01 Traffic prediction and bilevel network design
2019-12 Mise en oeuvre d’une approche sociotechnique de la vie privée pour les systèmes de paiement et de recommandation en ligne
2019-12 Representation learning in unsupervised domain translation
2019-12 Hierarchical Bayesian optimization of targeted motor outputs with spatiotemporal neurostimulation
2019-12 Emerging communication between competitive agents
2019-12 Compression in Sequence to Sequence Learning for Natural Language Processing
2019-12 On the bias-variance tradeoff : textbooks need an update
2019-12 Accurate and efficient strategies for the appearance filtering of complex materials
2019-12 Balancing signals for semi-supervised sequence learning
2019-12 Stochastic optimization of staffing for multiskill call centers
2019-11 On challenges in training recurrent neural networks
2019-09 Real-Time Reinforcement Learning
2019-09 Natural image processing and synthesis using deep learning
2019-08 Towards Understanding Generalization in Gradient-Based Meta-Learning
2019-08 Calibrage de caméra fisheye et estimation de la profondeur pour la navigation autonome
2019-08 Analysis of 3D human gait reconstructed with a depth camera and mirrors
2019-08 Deep neural networks for natural language processing and its acceleration
2019-08 Prediction of the transaction confirmation time in Ethereum Blockchain
2019-08 Unsupervised representation learning in interactive environments
2019-08 Deep active localization