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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 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Self-supervision for reinforcement learning
2024 Understanding our 3D world via generative modeling
2024 Searching for Q*
2024 Generative models, theory and applications
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Towards maintainable machine learning development through continual and modular learning
2024 Self-play for human-agent communication
2024 Génération de données synthétiques pour l'adaptation hors-domaine non-supervisée en réponse aux questions : méthodes basées sur des règles contre réseaux de neurones
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Dynamic capacities and priorities in stable matching
2024 Building intuitive reinforcement learning algorithms
2024 Evaluating approaches to solving proportional sentence analogies
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Mobility anomaly detection with intelligent video surveillance
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Enhancing agent learning through world dynamics modeling
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 An exploration of approximation chains
2024 Quotient Types in Typer
2024 Identifying latent structures in data
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Constrained optimization for machine learning : algorithms and applications
2024 Dichotomy(?) of fairness and efficiency
2024 Towards efficient and effective preference alignment for large language models
2024 Performative prediction : expanding theoretical horizons
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Modélisation de l'activité cérébrale mesurée par imagerie par résonance magnétique fonctionnelle dans une tâche de jeu vidéo par des modèles d'apprentissage profond
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Computational modeling and design of nonlinear mechanical systems and materials
2023 Reasoning with structure : graph neural networks algorithms and applications