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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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2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Rule-based data augmentation for document-level medical concept extraction
2024 Identifying latent structures in data
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Geometric-aware models for protein design
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Dichotomy(?) of fairness and efficiency
2024 Generative flow networks : theory and applications to structure learning
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Constrained optimization for machine learning : algorithms and applications
2024 Deep learning applications to climate change mitigation
2024 Self-supervision for reinforcement learning
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Modelling and evolving design-time uncertainty
2024 Searching for Q*
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Performative prediction : expanding theoretical horizons
2024 Understanding our 3D world via generative modeling
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Deep networks training and generalization: insights from linearization
Number of results : 1619