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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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2023-11 Fairness through domain awareness : mitigating popularity bias for music discovery
2023-11 Small batch deep reinforcement learning
2023-11 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023-10 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023-10 On choice models in the context of MDPs
2023-10 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023-10 Représentations géométriques de détails fins pour la simulation d’éclairage
2023-10 Multi-attribute deterministic and stochastic two echelon location routing problems
2023-10 Training large multimodal language models with ethical values
2023-10 Probability flows in deep learning
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
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 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023-07 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023-07 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023-07 Adding hygiene to gambit scheme
2023-07 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023-06 Data-driven optimization of bus schedules under uncertainties
2023-06 Learning and planning with noise in optimization and reinforcement learning
2023-06 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
Number of results : 1474