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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 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021 Extending domain-specific modeling editors with multi-touch interactions
2021 Lifelong topological visual navigation
2021 Efficient frequency-space methods for light transport caching
2021 On quantifying the value of simulation for training and evaluating robotic agents
2021 Better representation learning for TPMS
2021 Reusable semantics for implementation of Python optimizing compilers
2021 A framework for domain-specific modeling on graph databases
2021 Self-disclosure model for classifying & predicting text-based online disclosure
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2021 Tools for fluid simulation control in computer graphics
2021 Méthodes de décomposition basées sur la relaxation lagrangienne : cas du problème de transport avec coûts fixes
2021 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021 Computation over partial information : a principled approach to accurate partial evaluation
2021 AI alignment and generalization in deep learning
2021 Renforcement de la sécurité à travers les réseaux programmables
2021 Learning neural ordinary differential equations for optimal control
2021 Utilisation du plongement du domaine pour l’adaptation non supervisée en traduction automatique
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021 Tailored deep learning techniques for information retrieval
2021 Continuous coordination as a realistic scenario for lifelong learning
2021 Large state spaces and self-supervision in reinforcement learning
2021 Estimation de pose 2D par réseau convolutif
2021 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling
2021 Acceleration and new analysis of convex optimization algorithms
2020 Tactical block planning for intermodal rail transportation
2020 Towards using fluctuations in internal quality metrics to find design intents
2020 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020 A rolling horizon approach for the locomotive routing problem at the Canadian National Railway Company
2020 The art of post-truth in quantum cryptography
2020 Statistical physics of constraint satisfaction problems
2020 Adapting modeling environments to domain specific interactions
2020 Edit distance metrics for measuring dissimilarity between labeled gene trees
2020 Neural approaches to dialog modeling
2020 Un système de question-réponse simple appliqué à SQuAD
2020 VGCN-BERT : augmenting BERT with graph embedding for text classification : application to offensive language detection
2020 Générateurs de nombres aléatoires modulo un grand entier, dont l’uniformité est assurée
2020 On learning and generalization in unstructured taskspaces
2020 A data-driven discrete elastic rod model for shells and solids
2020 An intelligent real-time help system for clinical reasoning in virtual reality environment based on emotional analysis
2020 Deep reinforcement learning for multi-modal embodied navigation
2020 Introduction à la reconstruction 3D par lumière structurée
2020 Estimation neuronale de l'information mutuelle
2020 Lifelong learning of concepts in CRAFT
2020 Look-ahead meta-learning for continual learning
2020 Privacy evaluation of fairness-enhancing pre-processing techniques
2020 Méta-enseignement : génération active d’exemples par apprentissage par renforcement