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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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2021-07 Acceleration and new analysis of convex optimization algorithms
2021-07 Computation over partial information : a principled approach to accurate partial evaluation
2021-07 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021-07 Dialogue systems based on pre-trained language models
2021-07 Variational aleatoric uncertainty calibration in neural regression
2021-07 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021-08 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021-08 Learning neural ordinary differential equations for optimal control
2021-08 Large state spaces and self-supervision in reinforcement learning
2021-08 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021-08 Parsimonious reasoning in reinforcement learning for better credit assignment
2021-08 Towards fairness in Kidney Exchange Programs
2021-08 On representation learning for generative models of text
2021-08 Reusable semantics for implementation of Python optimizing compilers
2021-08 Towards computationally efficient neural networks with adaptive and dynamic computations
2021-08 Étude de modèles neuronaux de questions-réponses
2021-08 Personalized question-based cybersecurity recommendation systems
2021-08 Mechanical characterization of rigid discrete interlocking materials
2021-08 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021-08 Steepest descent as Linear Quadratic Regulation