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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 Toward causal representation and structure learning
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Méthodes d'évaluation en extraction d'information ouverte
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 AI for molecule discovery with multi-modal knowledge
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 Differentiable best response shaping
2023 Co-simulation for controlled environment agriculture
2023 Weak core solution for the non-transferable utility kidney exchange game
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 Few-shot prompt learning for automating model completion
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Vers la mitigation des biais en traitement neuronal des langues
2023 Computational modeling and design of nonlinear mechanical systems and materials
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Towards a unified model for speech and language processing
2023 Deep learning algorithms for database-driven peptide search
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Data-driven optimization of bus schedules under uncertainties
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023 Small batch deep reinforcement learning
2023 Domain-specific differencing and merging of models
2023 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth