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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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2021-06 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021-05 IIRC : Incremental Implicitly-Refined Classification
2021-05 Extended distribution effects for realistic appearance and light transport
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 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling
2021-05 Méthodes de décomposition basées sur la relaxation lagrangienne : cas du problème de transport avec coûts fixes
2021-05 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021-05 Quasi second-order methods for PDE-constrained forward and inverse problems
2021-04 Système intelligent pour le suivi et l’optimisation de l’état cognitif
2021-04 Efficient frequency-space methods for light transport caching
2021-04 On quantifying the value of simulation for training and evaluating robotic agents
2021-04 Continuous coordination as a realistic scenario for lifelong learning
2021-04 Estimation de pose 2D par réseau convolutif
2021-03 Locality and compositionality in representation learning for complex visual tasks
2021-03 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021-03 Extending domain-specific modeling editors with multi-touch interactions
2021-02 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2020-12 A data-driven discrete elastic rod model for shells and solids
2020-12 Learning discrete word embeddings to achieve better interpretability and processing efficiency
2020-12 Modélisation des réseaux de régulation de l’expression des gènes par les microARN
2020-12 Deep reinforcement learning for multi-modal embodied navigation
2020-12 Identifying electrons with deep learning methods
2020-12 Recommandation conversationnelle : écoutez avant de parlez
2020-12 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020-12 A deep learning theory for neural networks grounded in physics
2020-12 Towards deep unsupervised inverse graphics
2020-12 Privacy evaluation of fairness-enhancing pre-processing techniques
2020-12 Adapting modeling environments to domain specific interactions
2020-11 Towards using intelligent techniques to assist software specialists in their tasks
2020-11 Evolution of domain-specific languages depending on external libraries
2020-11 Introduction à la reconstruction 3D par lumière structurée
2020-10 Advances in parameterisation, optimisation and pruning of neural networks
2020-10 Statistical physics of constraint satisfaction problems
2020-10 Theseus : a 3D virtual reality orientation game with real-time guidance system for cognitive training
2020-10 Advances in deep learning methods for speech recognition and understanding
2020-10 A rolling horizon approach for the locomotive routing problem at the Canadian National Railway Company
2020-09 Estimation neuronale de l'information mutuelle
2020-09 Articulating design-time uncertainty with DRUIDE
2020-09 A game theoretical model for a collaborative e-learning platform on privacy awareness