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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 Sort by date in ascending order Title Sort by title in ascending order
2024 Enhancing agent learning through world dynamics modeling
2024 Towards efficient and effective preference alignment for large language models
2024 Constrained optimization for machine learning : algorithms and applications
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Rule-based data augmentation for document-level medical concept extraction
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Quotient Types in Typer
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Learning optimizers for communication-efficient distributed learning
2024 Dichotomy(?) of fairness and efficiency
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Performative prediction : expanding theoretical horizons
2024 Evaluating approaches to solving proportional sentence analogies
2024 Modelling and evolving design-time uncertainty
2024 Identifying latent structures in data
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2023 Conditional generative modeling for images, 3D animations, and video
2023 On choice models in the context of MDPs
2023 Differentiable best response shaping
2023 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023 Automatic symbolic melody generation from lyrics
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Towards adaptive deep model-based reinforcement learning
2023 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Fear prediction for training robust RL agents
Number of results : 1662