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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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2023-10 Predicting viral respiratory tract infections using wearable garment biosensors
2023-09 Deep learning algorithms for database-driven peptide search
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 Few-shot prompt learning for automating model completion
2023-08 Reasoning with structure : graph neural networks algorithms and applications
2023-08 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023-08 Analysis and evaluation of the pilot attentional model
2023-08 Méthodes d'évaluation en extraction d'information ouverte
2023-08 Improving predictive behavior under distributional shift
2023-08 Remote sensing representation learning for a species distribution modeling case study
2023-08 Finer grained evaluation methods for better understanding of deep neural network representations
2023-08 Co-simulation for controlled environment agriculture
2023-08 Sequential decision modeling in uncertain conditions
2023-08 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023-08 Toward causal representation and structure learning
2023-08 A multi-agent nudge-based approach for disclosure mitigation online
2023-08 Weak core solution for the non-transferable utility kidney exchange game
2023-08 Automatic symbolic melody generation from lyrics
2023-08 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023-08 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023-08 Entanglement-assisted communication complexity and nonlocal games
2023-08 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023-08 Efficient reformulations for deterministic and choice-based network design problems
2023-08 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023-08 Towards adaptive deep model-based reinforcement learning
2023-07 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023-07 Conditional generative modeling for images, 3D animations, and video
2023-07 AI for molecule discovery with multi-modal knowledge
2023-07 Differentiable best response shaping