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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 Assessing neural network dynamics under normal and altered states of consciousness with MEG : methodological challenges and proposed solutions for atypical power spectra
2021 Pattern-based refactoring in model-driven engineering
2021 On representation learning for generative models of text
2021 Système intelligent pour le suivi et l’optimisation de l’état cognitif
2021 Better representation learning for TPMS
2021 Locality and compositionality in representation learning for complex visual tasks
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 A framework for domain-specific modeling on graph databases
2021 IIRC : Incremental Implicitly-Refined Classification
2021 Forecasting for operational planning of M1M systems
2021 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2021 Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2021 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021 Extraction de comportements reproductibles en avatar virtuel
2021 Content-based automatic fact checking
2021 Utilisation du plongement du domaine pour l’adaptation non supervisée en traduction automatique
2021 Tailored deep learning techniques for information retrieval
2021 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2021 Variational aleatoric uncertainty calibration in neural regression
2021 Image forgery detection using textural features and deep learning
2021 Learning neural ordinary differential equations for optimal control
2021 Acceleration and new analysis of convex optimization algorithms
2021 Large state spaces and self-supervision in reinforcement learning
2021 Dialogue systems based on pre-trained language models
2021 Extended distribution effects for realistic appearance and light transport
2021 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2020 Articulating design-time uncertainty with DRUIDE
2020 Open source quality control tool for translation memory using artificial intelligence
2020 Towards deep unsupervised inverse graphics