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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
2024-01 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
2023-08 Towards adaptive deep model-based reinforcement learning
2023-08 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023-08 Remote sensing representation learning for a species distribution modeling case study
2023-08 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023-08 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023-08 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023-08 Sequential decision modeling in uncertain conditions
2023-08 Weak core solution for the non-transferable utility kidney exchange game
2023-08 A multi-agent nudge-based approach for disclosure mitigation online
2023-08 Toward causal representation and structure learning
2023-08 Reasoning with structure : graph neural networks algorithms and applications
2023-08 Analysis and evaluation of the pilot attentional model
2023-08 Improving predictive behavior under distributional shift
2023-08 Automatic symbolic melody generation from lyrics
2023-08 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023-07 Adding hygiene to gambit scheme
2023-07 Conditional generative modeling for images, 3D animations, and video
2023-07 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023-07 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023-07 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2023-07 Differentiable best response shaping
2023-07 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023-07 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023-07 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023-07 AI for molecule discovery with multi-modal knowledge
2023-07 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023-06 Data-driven optimization of bus schedules under uncertainties
2023-06 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023-06 ZeroAbuse, a serious game to prevent child maltreatment
2023-06 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