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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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2022 Controllable music performance synthesis via hierarchical modelling
2022 Mixed-integer programming representation for symmetrical partition function form games
2022 Agent abstraction in multi-agent reinforcement learning
2022 Automatically correcting syntactic and semantic errors in ATL transformations using multi-objective optimization
2022 Measuring RocksDB performance and adaptive sampling for model estimation
2022 Neural probabilistic path prediction : skipping paths for acceleration
2022 Dynamics of learning and generalization in neural networks
2022 Learning to compare nodes in branch and bound with graph neural networks
2022 Extraction of UML class diagrams from natural language specifications
2022 Stabilizing Q-Learning for continuous control
2022 Sample efficient reinforcement learning for biological sequence design
2022 Improving information subsampling with local inhibition
2022 Renormalization group theory, scaling laws and deep learning
2022 Personalized fake news aware recommendation system
2022 Parametric Scattering Networks
2022 On discovering and learning structure under limited supervision
2022 Optimization tools for non-asymptotic statistics in exponential families
2022 Attention, concentration, and distraction measure using EEG and eye tracking in virtual reality
2022 DS-Fake : a data stream mining approach for fake news detection
2022 Imitation from observation using behavioral learning
2022 Génération de données : de l’anonymisation à la construction de populations synthétiques
2022 Créer un corpus annoté en entités nommées avec Wikipédia et WikiData : de mauvais résultats et du potentiel
2022 Adaptive learning of tensor network structures
2021 Dialogue systems based on pre-trained language models
2021 Abstraction de comportement de haut niveau à l’aide de la visualisation interactive
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Learning neural ordinary differential equations for optimal control
2021 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021 Self-disclosure model for classifying & predicting text-based online disclosure
2021 Estimation de pose 2D par réseau convolutif
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2021 Large state spaces and self-supervision in reinforcement learning
2021 Tailored deep learning techniques for information retrieval
2021 Job dissatisfaction detection through progress note
2021 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2021 Towards fairness in Kidney Exchange Programs
2021 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021 Creation of a vocal emotional profile (VEP) and measurement tools
2021 Acceleration and new analysis of convex optimization algorithms
Number of results : 1645