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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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Date Trier par date en ordre décroissant Titre Trier par titre en ordre décroissant
2022 (Out-of-distribution?) : generalization in deep learning
2025 Learning under constraints
2023 On impact of mixing times in continual reinforcement learning
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2022 Improving information subsampling with local inhibition
2022 Problem hierarchies in continual learning
2022 Agent abstraction in multi-agent reinforcement learning
2023 Toward causal representation and structure learning
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2022 Renormalization group theory, scaling laws and deep learning
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
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
2025 Connecting neural networks, automata theory and tensor network methods for sequence data learning
2022 Adaptive learning of tensor network structures
2022 On the VC-dimension of Tensor Networks
Nombre de résultats : 1586