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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 Learning optimizers for communication-efficient distributed learning
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Enhancing agent learning through world dynamics modeling
2024 Constrained optimization for machine learning : algorithms and applications
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Dichotomy(?) of fairness and efficiency
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Geometric-aware models for protein design
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Towards adaptive deep model-based reinforcement learning
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Calibrated uncertainty estimation for SLAM
Nombre de résultats : 1603