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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 décroissant Titre Trier par titre en ordre décroissant
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Performative prediction : expanding theoretical horizons
2024 Self-supervision for reinforcement learning
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Generative models, theory and applications
2024 Dichotomy(?) of fairness and efficiency
2024 Constrained optimization for machine learning : algorithms and applications
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Modelling and evolving design-time uncertainty
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Deep learning applications to climate change mitigation
2024 Searching for Q*
2024 Generative flow networks : theory and applications to structure learning
2024 Towards maintainable machine learning development through continual and modular learning
2024 Building intuitive reinforcement learning algorithms
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Geometric-aware models for protein design
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 Quotient Types in Typer
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Self-play for human-agent communication
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2025 Évaluation de la confiance dans les modèles épidémiologiques guidée par la provenance : une approche de manipulation formelle des modèles
2025 Neural architectures for compositional generalisation
2025 Rapid prototyping for systematic reuse in compartmental models
2025 LLMs for experiment design in scientific domains : are we there yet?
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2025 Investigating the impact of training data coverage on large language model hallucinations
Nombre de résultats : 1656