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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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2020 Advances in parameterisation, optimisation and pruning of neural networks
2020 Towards using fluctuations in internal quality metrics to find design intents
2020 Towards better understanding and improving optimization in recurrent neural networks
2020 Personal information prediction from written texts
2020 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020 Entity-centric representations in deep learning
2020 An intelligent real-time help system for clinical reasoning in virtual reality environment based on emotional analysis
2020 Evolution of domain-specific languages depending on external libraries
2020 The multilevel critical node problem : theoretical intractability and a curriculum learning approach
2020 A deep learning theory for neural networks grounded in physics
2020 On learning and generalization in unstructured taskspaces
2020 The load planning problem for double-stack intermodal trains
2020 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2020 Estimation neuronale de l'information mutuelle
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020 Prediction of Alzheimer's disease and semantic dementia from scene description: toward better language and topic generalization
2020 The art of post-truth in quantum cryptography
2020 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020 Statistical physics of constraint satisfaction problems
2020 Assessing the robustness of genetic codes and genomes
2020 On improving variational inference with low-variance multi-sample estimators
2020 Study and experimentation of cognitive decline measurements in a virtual reality environment
2020 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders
2020 Leveraging deep reinforcement learning in the smart grid environment
2020 Programming tools for intelligent systems
2020 Advances in deep learning methods for speech recognition and understanding
2020 Optimizing ANN Architectures using Mixed-Integer Programming
2019 Unsupervised representation learning in interactive environments
2019 Towards Understanding Generalization in Gradient-Based Meta-Learning
2019 No Press Diplomacy