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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 human-AI co-creation for Hindustani music : modeling and interaction
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Quotient Types in Typer
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Towards efficient and effective preference alignment for large language models
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 Modelling and evolving design-time uncertainty
2024 Evaluating approaches to solving proportional sentence analogies
2024 Constrained optimization for machine learning : algorithms and applications
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Dichotomy(?) of fairness and efficiency
2024 Mobility anomaly detection with intelligent video surveillance
2024 Dynamic capacities and priorities in stable matching
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Fear prediction for training robust RL agents
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Learning and planning with noise in optimization and reinforcement learning