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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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2023-04 Model-based hyperparameter optimization
2022-08 Sample efficient reinforcement learning for biological sequence design
2021-08 Learning neural ordinary differential equations for optimal control
2002 Network information discovery and structural optimization in the WOS's context by using distributed algorithms
2002 Resource Warehouses : a distributed information management infrastructure
2024-01 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2021-07 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2022-07 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2021-05 IIRC : Incremental Implicitly-Refined Classification
2023-08 Towards adaptive deep model-based reinforcement learning