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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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2024-01 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2023-12 Towards a unified model for speech and language processing
2023-12 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023-11 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023-11 Small batch deep reinforcement learning
2023-11 Fairness through domain awareness : mitigating popularity bias for music discovery
2023-11 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023-11 Domain-specific differencing and merging of models
2023-10 Multi-attribute deterministic and stochastic two echelon location routing problems
2023-10 Predicting viral respiratory tract infections using wearable garment biosensors
2023-10 On choice models in the context of MDPs
2023-10 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023-10 Training large multimodal language models with ethical values
2023-10 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023-09 Contextual cues for deep learning models of code
2023-09 Predicting stock market trends using time-series classification with dynamic neural networks
2023-08 Co-simulation for controlled environment simulation
2023-08 Few-shot prompt learning for automating model completion
2023-08 Méthodes d'évaluation en extraction d'information ouverte
2023-08 Efficient reformulations for deterministic and choice-based network design problems