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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 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Calibrated uncertainty estimation for SLAM
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Analysis of the human corneal shape with machine learning
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Sketch-based interactive shape deformation using shading isophotes
2023 Analysis and evaluation of the pilot attentional model
2023 Data-driven optimization of bus schedules under uncertainties
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Building sample-efficient reinforcement learning
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 AI for molecule discovery with multi-modal knowledge
2023 Deep networks training and generalization: insights from linearization
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Towards a unified model for speech and language processing
2023 Model-based hyperparameter optimization
2023 Emergence of language-like latents in deep neural networks
2023 On impact of mixing times in continual reinforcement learning
2023 Détection de tableaux dans des documents : une étude de TableBank
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Toward causal representation and structure learning
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Probability flows in deep learning
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Few-shot prompt learning for automating model completion