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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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2023 On impact of mixing times in continual reinforcement learning
2023 Differentiable best response shaping
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Towards adaptive deep model-based reinforcement learning
2023 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023 Data-driven optimization of bus schedules under uncertainties
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Analysis and evaluation of the pilot attentional model
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Domain-specific differencing and merging of models
2023 Fear prediction for training robust RL agents
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Building sample-efficient reinforcement learning