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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 croissant Titre Trier par titre en ordre croissant
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Domain-specific differencing and merging of models
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Analysis of the human corneal shape with machine learning
2023 On impact of mixing times in continual reinforcement learning
2023 Emergence of language-like latents in deep neural networks
2023 Co-simulation for controlled environment agriculture
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Improving predictive behavior under distributional shift
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Sequential decision modeling in uncertain conditions
2023 Differentiable best response shaping
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Towards adaptive deep model-based reinforcement learning
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Training large multimodal language models with ethical values
2023 Deep networks training and generalization: insights from linearization
2023 Building sample-efficient reinforcement learning
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
Nombre de résultats : 1615