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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
2023 Co-simulation for controlled environment agriculture
2023 Improving predictive behavior under distributional shift
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Apprentissage de descripteurs locaux pour l’amélioration des systèmes de SLAM visuel
2023 Emergence of language-like latents in deep neural networks
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Small batch deep reinforcement learning
2023 Training large multimodal language models with ethical values
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Deep networks training and generalization: insights from linearization
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Methods for solving combinatorial pricing problems
2023 On impact of mixing times in continual reinforcement learning
2023 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Towards adaptive deep model-based reinforcement learning
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Sequential decision modeling in uncertain conditions
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Estimation de cartes d'énergie du bruit apériodique de la marche humaine avec une caméra de profondeur pour la détection de pathologies et modèles légers de détection d'objets saillants basés sur l'opposition de couleurs
2023 Model-based hyperparameter optimization
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Context-aware ranking : from search to dialogue
2023 Data-driven optimization of bus schedules under uncertainties
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 On choice models in the context of MDPs
2023 Fear prediction for training robust RL agents
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Towards a unified model for speech and language processing
2023 Contextual cues for deep learning models of code