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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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Date Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2021 Large state spaces and self-supervision in reinforcement learning
2021 Extraction de comportements reproductibles en avatar virtuel
2021 Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
2021 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021 Abstraction de comportement de haut niveau à l’aide de la visualisation interactive
2021 Locality and compositionality in representation learning for complex visual tasks
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2021 Forecasting for operational planning of M1M systems
2021 Dialogue systems based on pre-trained language models
2021 Renforcement de la sécurité à travers les réseaux programmables
2021 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Image forgery detection using textural features and deep learning
2021 IIRC : Incremental Implicitly-Refined Classification
2021 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2021 Computation over partial information : a principled approach to accurate partial evaluation
2021 Tailored deep learning techniques for information retrieval
2021 Towards computationally efficient neural networks with adaptive and dynamic computations
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 Acceleration and new analysis of convex optimization algorithms
2021 Some phenomenological investigations in deep learning
2021 Pattern-based refactoring in model-driven engineering
2021 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021 Mechanical characterization of rigid discrete interlocking materials
2021 Learning neural ordinary differential equations for optimal control
2021 On representation learning for generative models of text
2021 Méthodes de décomposition basées sur la relaxation lagrangienne : cas du problème de transport avec coûts fixes
2021 Tools for fluid simulation control in computer graphics
2021 Better representation learning for TPMS
2021 AI alignment and generalization in deep learning
2021 Contributions à la sonification d’image et à la classification de sons
2020 Optimizing ANN Architectures using Mixed-Integer Programming
2020 On learning and generalization in unstructured taskspaces
2020 Edit distance metrics for measuring dissimilarity between labeled gene trees
2020 Towards better understanding and improving optimization in recurrent neural networks
2020 Statistical physics of constraint satisfaction problems
2020 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020 A rolling horizon approach for the locomotive routing problem at the Canadian National Railway Company
2020 Générateurs de nombres aléatoires modulo un grand entier, dont l’uniformité est assurée
2020 Advances in parameterisation, optimisation and pruning of neural networks
2020 Real-time human action and gesture recognition using skeleton joints information towards medical applications
2020 Estimation neuronale de l'information mutuelle
2020 A data-driven discrete elastic rod model for shells and solids
2020 Recommandation conversationnelle : écoutez avant de parlez
2020 Tactical block planning for intermodal rail transportation
2020 An intelligent real-time help system for clinical reasoning in virtual reality environment based on emotional analysis
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020 Personal information prediction from written texts
2020 On improving variational inference with low-variance multi-sample estimators
Nombre de résultats : 1661