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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 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Apprentissage de descripteurs locaux pour l’amélioration des systèmes de SLAM visuel
2023 Deep networks training and generalization: insights from linearization
2023 Probability flows in deep learning
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2023 Data-driven optimization of bus schedules under uncertainties
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Towards a unified model for speech and language processing
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Analysis and evaluation of the pilot attentional model
2023 Détection de tableaux dans des documents : une étude de TableBank
2023 Toward causal representation and structure learning
2023 Sequential decision modeling in uncertain conditions
2023 Small batch deep reinforcement learning
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Model-based hyperparameter optimization
2023 Few-shot prompt learning for automating model completion
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2022 Game theoretical characterization of the multi-agent network expansion game
2022 Learning to compare nodes in branch and bound with graph neural networks
2022 Contributions to generative models and their applications
2022 Stabilizing Q-Learning for continuous control
2022 Parametric Scattering Networks
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 Mixed-integer programming representation for symmetrical partition function form games
2022 Sample efficient reinforcement learning for biological sequence design
2022 Incorporating health factors into food recommendation : experiments on real-world data from a weight-loss app
2022 On the VC-dimension of Tensor Networks
2022 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2022 Problem hierarchies in continual learning
2022 Stability-aware simplification of curve networks
2022 Re-weighted softmax cross-entropy to control forgetting in federated learning
2022 Deep geometric probabilistic models
2022 Traitement des données scRNA-seq issues de la technologie Drop-Seq : application à l’étude des réseaux transcriptionnels dans le cancer du sein
2022 Accelerated algorithms for temporal difference learning methods