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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 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
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Toward causal representation and structure learning
2023 Few-shot prompt learning for automating model completion
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 On choice models in the context of MDPs
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Generative models : from data generation to representation learning
2023 Sequential decision modeling in uncertain conditions
2023 Automatic symbolic melody generation from lyrics
2023 Probability flows in deep learning
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Domain-specific differencing and merging of models
2023 Sketch-based interactive shape deformation using shading isophotes
2023 Estimation de cartes d'énergie du bruit apériodique de la marche humaine avec une caméra de profondeur pour la détection de pathologies et modèles légers de détection d'objets saillants basés sur l'opposition de couleurs
2023 On impact of mixing times in continual reinforcement learning
2023 Model-based hyperparameter optimization
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs