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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
2024 Understanding our 3D world via generative modeling
2023 Generative models : from data generation to representation learning
2023 Calibrated uncertainty estimation for SLAM
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2022 Differentiable world programs
2025 Machine learning through the sciences of the artificial
2024 Leveraging foundation models towards semantic world representations for robotics
2019 Deep active localization
2021 Lifelong topological visual navigation
2023 Fear prediction for training robust RL agents
2020 Look-ahead meta-learning for continual learning
2021 Variational aleatoric uncertainty calibration in neural regression
2022 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2021 On quantifying the value of simulation for training and evaluating robotic agents
2026 From continual adaptation to reliable inference : context-aware out-of-distribution detection
2025 CLIP-Enhance : improving CLIP zero-shot classification via von Mises-Fisher clustering
2020 Lifelong learning of concepts in CRAFT
2021 On representation learning for generative models of text
2025 3D generative models and score-based diffusion in function space
2019 Towards Understanding Generalization in Gradient-Based Meta-Learning