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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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2021-08 Learning neural ordinary differential equations for optimal control
2021-08 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021-08 Towards fairness in Kidney Exchange Programs
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 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 Computation over partial information : a principled approach to accurate partial evaluation
2021-07 Acceleration and new analysis of convex optimization algorithms
2021-06 Image forgery detection using textural features and deep learning
2021-06 Self-disclosure model for classifying & predicting text-based online disclosure
2021-06 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021-05 Quasi second-order methods for PDE-constrained forward and inverse problems
2021-05 Typer a de la classe : le polymorphisme ad hoc dans un langage avec des types dépendants et de la métaprogrammation
2021-05 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021-05 IIRC : Incremental Implicitly-Refined Classification
2021-05 Pattern-based refactoring in model-driven engineering
2021-05 Méthodes de décomposition basées sur la relaxation lagrangienne : cas du problème de transport avec coûts fixes
2021-05 Extended distribution effects for realistic appearance and light transport
2021-05 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling