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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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2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2023 On impact of mixing times in continual reinforcement learning
2022 Renormalization group theory, scaling laws and deep learning
2025 Learning under constraints
2023 Toward causal representation and structure learning
2022 Problem hierarchies in continual learning
2022 Improving information subsampling with local inhibition
2023 Towards a unified model for speech and language processing
2025 A study of the role of entanglement in quantum kernel models