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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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2021-04 Efficient frequency-space methods for light transport caching
2021-04 Estimation de pose 2D par réseau convolutif
2021-04 Système intelligent pour le suivi et l’optimisation de l’état cognitif
2021-04 On quantifying the value of simulation for training and evaluating robotic agents
2021-04 Continuous coordination as a realistic scenario for lifelong learning
2021-03 Extending domain-specific modeling editors with multi-touch interactions
2021-03 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021-03 Locality and compositionality in representation learning for complex visual tasks
2021-02 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2020-12 Modélisation des réseaux de régulation de l’expression des gènes par les microARN
2020-12 Deep reinforcement learning for multi-modal embodied navigation
2020-12 Identifying electrons with deep learning methods
2020-12 Privacy evaluation of fairness-enhancing pre-processing techniques
2020-12 Recommandation conversationnelle : écoutez avant de parlez
2020-12 A data-driven discrete elastic rod model for shells and solids
2020-12 A deep learning theory for neural networks grounded in physics
2020-12 Towards deep unsupervised inverse graphics
2020-12 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020-12 Adapting modeling environments to domain specific interactions
2020-12 Learning discrete word embeddings to achieve better interpretability and processing efficiency