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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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2023-07 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023-07 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023-07 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2023-07 Differentiable best response shaping
2023-06 Data-driven optimization of bus schedules under uncertainties
2023-06 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023-06 ZeroAbuse, a serious game to prevent child maltreatment
2023-06 Learning and planning with noise in optimization and reinforcement learning
2023-06 Vers la mitigation des biais en traitement neuronal des langues
2023-06 Estimation de cartes d'énergie du bruit apériodique de la marche humaine avec une caméra de profondeur pour la détection de pathologies et modèles légers de détection d'objets saillants basés sur l'opposition de couleurs
2023-06 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023-05 Emergence of language-like latents in deep neural networks
2023-05 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023-04 Model-based hyperparameter optimization
2023-04 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023-04 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023-04 Calibrated uncertainty estimation for SLAM
2023-04 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023-04 Amélioration des messages d'erreurs Typer par algorithme génétique
2023-04 Detection, recuperation and cross-subject classification of mental fatigue
2023-04 Détection de tableaux dans des documents : une étude de TableBank
2023-04 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023-04 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023-03 Fear prediction for training robust RL agents
2023-03 Computational modeling and design of nonlinear mechanical systems and materials
2023-03 Context-aware ranking : from search to dialogue
2023-02 On impact of mixing times in continual reinforcement learning
2023-02 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023-01 Deep networks training and generalization: insights from linearization
2023-01 Analysis of the human corneal shape with machine learning
2022-12 Stabilizing Q-Learning for continuous control
2022-12 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022-12 Automatically correcting syntactic and semantic errors in ATL transformations using multi-objective optimization
2022-12 Re-weighted softmax cross-entropy to control forgetting in federated learning
2022-12 Regroupement de textes avec des approches simples et efficaces exploitant la représentation vectorielle contextuelle SBERT
2022-12 Accelerated algorithms for temporal difference learning methods
2022-12 Automatic taxonomy evaluation
2022-12 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2022-12 Attention, concentration, and distraction measure using EEG and eye tracking in virtual reality
2022-12 Gestion manuelle et sécuritaire de la mémoire en Typer
2022-11 Mixed-integer programming representation for symmetrical partition function form games
2022-11 Génération de données : de l’anonymisation à la construction de populations synthétiques
2022-11 Imitation from observation using behavioral learning
2022-11 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2022-11 Extraction of UML class diagrams from natural language specifications
2022-10 Adaptive learning of tensor network structures
2022-10 Neural probabilistic path prediction : skipping paths for acceleration
2022-10 Contributions to generative models and their applications
2022-10 Deep geometric probabilistic models
2022-10 From specialists to generalists : inductive biases of deep learning for higher level cognition