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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
2022 Inductive biases for efficient information transfer in artificial networks
2022 Accelerated algorithms for temporal difference learning methods
2022 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2022 Imitation from observation using behavioral 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 Optimization tools for non-asymptotic statistics in exponential families
2022 Learning to compare nodes in branch and bound with graph neural networks
2022 Stabilizing Q-Learning for continuous control
2022 Créer un corpus annoté en entités nommées avec Wikipédia et WikiData : de mauvais résultats et du potentiel
2022 Agent abstraction in multi-agent reinforcement learning
2022 Renormalization group theory, scaling laws and deep learning
2022 Personalized fake news aware recommendation system
2022 Génération de données : de l’anonymisation à la construction de populations synthétiques
2022 Improving information subsampling with local inhibition
2022 Adaptive learning of tensor network structures
2022 Stability-aware simplification of curve networks
2022 Dynamics of learning and generalization in neural networks
2022 Neural probabilistic path prediction : skipping paths for acceleration
2021 Assessing neural network dynamics under normal and altered states of consciousness with MEG : methodological challenges and proposed solutions for atypical power spectra
2021 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021 Acceleration and new analysis of convex optimization algorithms
2021 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2021 Creation of a vocal emotional profile (VEP) and measurement tools
2021 AI alignment and generalization in deep learning
2021 Personalized question-based cybersecurity recommendation systems
2021 On quantifying the value of simulation for training and evaluating robotic agents
2021 Steepest descent as Linear Quadratic Regulation
2021 Job dissatisfaction detection through progress note
2021 Renforcement de la sécurité à travers les réseaux programmables