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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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2021-09 Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
2021-09 Tools for fluid simulation control in computer graphics
2021-09 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2021-09 Renforcement de la sécurité à travers les réseaux programmables
2021-08 Steepest descent as Linear Quadratic Regulation
2021-08 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021-08 Mechanical characterization of rigid discrete interlocking materials
2021-08 Personalized question-based cybersecurity recommendation systems
2021-08 Étude de modèles neuronaux de questions-réponses
2021-08 Towards computationally efficient neural networks with adaptive and dynamic computations
2021-08 Reusable semantics for implementation of Python optimizing compilers
2021-08 On representation learning for generative models of text
2021-08 Towards fairness in Kidney Exchange Programs
2021-08 Parsimonious reasoning in reinforcement learning for better credit assignment
2021-08 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021-08 Large state spaces and self-supervision in reinforcement learning
2021-08 Learning neural ordinary differential equations for optimal control
2021-08 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021-07 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021-07 Variational aleatoric uncertainty calibration in neural regression
2021-07 Dialogue systems based on pre-trained language models
2021-07 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021-07 Computation over partial information : a principled approach to accurate partial evaluation
2021-07 Acceleration and new analysis of convex optimization algorithms
2021-06 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021-06 Self-disclosure model for classifying & predicting text-based online disclosure
2021-06 Image forgery detection using textural features and deep learning
2021-05 Pattern-based refactoring in model-driven engineering
2021-05 Typer a de la classe : le polymorphisme ad hoc dans un langage avec des types dépendants et de la métaprogrammation
2021-05 Extended distribution effects for realistic appearance and light transport
Number of results : 1474