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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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2022-06 Problem hierarchies in continual learning
2022-09 Improving information subsampling with local inhibition
2022-06 Agent abstraction in multi-agent reinforcement learning
2022-08 (Out-of-distribution?) : generalization in deep learning
2023-08 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023-02 On impact of mixing times in continual reinforcement learning
2023-09 Predicting stock market trends using time-series classification with dynamic neural networks
2022-08 Renormalization group theory, scaling laws and deep learning
2023-08 Toward causal representation and structure learning
2023-12 Towards a unified model for speech and language processing
2020-08 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders
2022-10 Adaptive learning of tensor network structures
2022-01 On the VC-dimension of Tensor Networks
2009-09 Modes de représentation pour l'éclairage en synthèse d'images
2014-04 Modélisation procédurale de mondes virtuels par pavage d'occultation
2021-12 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2004 Génération d'ombres floues provenant de sources de lumière surfaciques à l'aide de tampons d'ombre étendus
2015-09 Photorealistic Surface Rendering with Microfacet Theory
2017-05 Matrix-based Parameterizations of Skeletal Animated Appearance
2021-09 Tools for fluid simulation control in computer graphics