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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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2022-06 Vers la sécurité des conteneurs : les comprendre et les sécuriser
2022-06 Accounting for variance and hyperparameter optimization in machine learning benchmarks
2022-06 Agent abstraction in multi-agent reinforcement learning
2022-06 Problem hierarchies in continual learning
2022-07 Stability-aware simplification of curve networks
2022-07 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2022-08 A stochastic integer programming approach to reserve staff scheduling with preferences
2022-08 Generalization in federated learning
2022-08 Understanding, improving, and generalizing generative models
2022-08 Controllable music performance synthesis via hierarchical modelling
2022-08 Local differentially private mechanisms for text privacy protection
2022-08 Sample efficient reinforcement learning for biological sequence design
2022-08 Learning to compare nodes in branch and bound with graph neural networks
2022-08 Adversarial games in machine learning : challenges and applications
2022-08 Évaluation de la charge mentale des pilotes en manœuvre aérienne
2022-08 Renormalization group theory, scaling laws and deep learning
2022-08 Segmentation des images radiographiques à rayon-X basée sur la fusion entropique et Reconstruction 3D biplanaire des os basée sur la modélisation statistique non-linéaire
2022-08 Dynamics of learning and generalization in neural networks
2022-08 Syntactic inductive biases for deep learning methods
2022-08 A personality aware recommendation system