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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 Contributions to generative models and their applications
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 Renormalization group theory, scaling laws and deep learning
2022 Neural probabilistic path prediction : skipping paths for acceleration
2022 Learning to compare nodes in branch and bound with graph neural networks
2022 Generalization in federated learning
2022 Latent data augmentation and modular structure for improved generalization
2022 Advances in generative models for dynamic scenes
2022 Extraction of UML class diagrams from natural language specifications
2022 On discovering and learning structure under limited supervision