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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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2018-12 Load sequencing for double-stack trains
2018-11 From examples to knowledge in model-driven engineering : a holistic and pragmatic approach
2018-11 Improved training of generative models
2018-11 Real-time rendering of cities at night
2018-10 Étude algorithmique et combinatoire de la méthode de Kemeny-Young et du consensus de classements
2018-10 Sequence-to-sequence learning for machine translation and automatic differentiation for machine learning software tools
2018-10 Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
2018-09 Learning-Based Matheuristic Solution Methods for Stochastic Network Design
2018-09 Representation Learning for Visual Data
2018-09 Lagrangian-based methods for single and multi-layer multicommodity capacitated network design