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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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2022-12 Accelerated algorithms for temporal difference learning methods
2022-12 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022-11 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2022-11 Imitation from observation using behavioral learning
2022-11 Mixed-integer programming representation for symmetrical partition function form games
2022-11 Extraction of UML class diagrams from natural language specifications
2022-11 Génération de données : de l’anonymisation à la construction de populations synthétiques
2022-10 Deep geometric probabilistic models
2022-10 Adaptive learning of tensor network structures
2022-10 Contributions to generative models and their applications
2022-10 From specialists to generalists : inductive biases of deep learning for higher level cognition
2022-10 Neural probabilistic path prediction : skipping paths for acceleration
2022-09 Semi-transparent textures based on opaque and transparent texels augmented with a thickness
2022-09 Inductive biases for efficient information transfer in artificial networks
2022-09 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2022-09 Generating graphical and projectional editors
2022-09 Autoencoders for natural language semantics
2022-09 Improving information subsampling with local inhibition
2022-08 Renormalization group theory, scaling laws and deep learning
2022-08 Segmentation des images radiographiques à rayon-X basée sur la fusion entropique et Reconstruction 3D biplanaire des os basée sur la modélisation statistique non-linéaire