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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 Small batch deep reinforcement learning
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Emergence of language-like latents in deep neural networks
2023 Towards a unified model for speech and language processing
2023 Co-simulation for controlled environment agriculture
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Contextual cues for deep learning models of code
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2023 Context-aware ranking : from search to dialogue
2023 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023 Deep learning algorithms for database-driven peptide search
2023 Détection de tableaux dans des documents : une étude de TableBank
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Differentiable best response shaping
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Deep networks training and generalization: insights from linearization
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Analysis and evaluation of the pilot attentional model
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Méthodes d'évaluation en extraction d'information ouverte
2023 Improving predictive behavior under distributional shift
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 AI for molecule discovery with multi-modal knowledge
2023 Fear prediction for training robust RL agents
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 Vers la mitigation des biais en traitement neuronal des langues
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Building sample-efficient reinforcement learning
2023 Calibrated uncertainty estimation for SLAM
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Apprentissage de descripteurs locaux pour l’amélioration des systèmes de SLAM visuel
2023 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023 Methods for solving combinatorial pricing problems
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Data-driven optimization of bus schedules under uncertainties
Number of results : 1514