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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 The shifting landscape of data : learning to tame distributional shifts
2024 Dichotomy(?) of fairness and efficiency
2024 Constrained optimization for machine learning : algorithms and applications
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Modelling and evolving design-time uncertainty
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Deep learning applications to climate change mitigation
2024 Enhancing agent learning through world dynamics modeling
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Towards efficient and effective preference alignment for large language models
2024 Performative prediction : expanding theoretical horizons
2024 Learning optimizers for communication-efficient distributed learning
2024 Geometric-aware models for protein design
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Identifying latent structures in data
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
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
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Building intuitive reinforcement learning algorithms
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 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2023 Building sample-efficient reinforcement learning
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Learning and planning with noise in optimization and reinforcement learning
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Calibrated uncertainty estimation for SLAM
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Adding hygiene to gambit scheme
2023 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023 Entanglement-assisted communication complexity and nonlocal games
2023 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Analysis and evaluation of the pilot attentional model
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Méthodes d'évaluation en extraction d'information ouverte
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 Few-shot prompt learning for automating model completion