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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 Renormalization group theory, scaling laws and deep learning
2022 (Out-of-distribution?) : generalization in deep learning
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2022 Improving information subsampling with local inhibition
2023 On impact of mixing times in continual reinforcement learning
2023 Towards a unified model for speech and language processing
2025 A study of the role of entanglement in quantum kernel models
2020 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders
2022 Adaptive learning of tensor network structures
2022 On the VC-dimension of Tensor Networks