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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
2024 Self-play for human-agent communication
2024 An exploration of approximation chains
2024 Searching for Q*
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Generative flow networks : theory and applications to structure learning
2024 Leveraging foundation models towards semantic world representations for robotics
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Dichotomy(?) of fairness and efficiency
2024 Constrained optimization for machine learning : algorithms and applications
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Modelling and evolving design-time uncertainty
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Deep learning applications to climate change mitigation
2024 Enhancing agent learning through world dynamics modeling
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics