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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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2022 On the VC-dimension of Tensor Networks
2022 Cyclopean optical flow
2022 On iterated learning for task-oriented dialogue
2022 Accounting for variance and hyperparameter optimization in machine learning benchmarks
2022 Mixed-integer programming representation for symmetrical partition function form games
2022 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2022 Understanding, improving, and generalizing generative models
2022 Differentiable world programs
2022 Autoencoders for natural language semantics
2022 Syntactic inductive biases for deep learning methods
2022 Apprentissage d'atlas cellulaires par la méthode de Factorized embeddings
2022 Contributions to generative models and their applications
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 City decision-making : optimization of the location and design of urban green spaces
2022 Automatic taxonomy evaluation
2022 Évaluation de la charge mentale des pilotes en manœuvre aérienne
2022 Local differentially private mechanisms for text privacy protection
2022 Vers la sécurité des conteneurs : les comprendre et les sécuriser
2022 Advances in generative models for dynamic scenes
2022 Generalization in federated learning
2022 Gestion manuelle et sécuritaire de la mémoire en Typer
2022 Inductive biases for efficient information transfer in artificial networks
2022 (Out-of-distribution?) : generalization in deep learning
2022 Deep geometric probabilistic models
2022 Semi-transparent textures based on opaque and transparent texels augmented with a thickness
2022 Une étude des graphes jumeaux via l'auto-abritement
2022 A stochastic integer programming approach to reserve staff scheduling with preferences
2022 From specialists to generalists : inductive biases of deep learning for higher level cognition
2022 Segmentation des images radiographiques à rayon-X basée sur la fusion entropique et Reconstruction 3D biplanaire des os basée sur la modélisation statistique non-linéaire
2022 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2022 Génération de données : de l’anonymisation à la construction de populations synthétiques
2022 On discovering and learning structure under limited supervision
2022 Créer un corpus annoté en entités nommées avec Wikipédia et WikiData : de mauvais résultats et du potentiel
2022 Optimization tools for non-asymptotic statistics in exponential families
2022 DS-Fake : a data stream mining approach for fake news detection
2022 Sample efficient reinforcement learning for biological sequence design
2022 Parametric Scattering Networks
2022 Extraction of UML class diagrams from natural language specifications
2022 Stabilizing Q-Learning for continuous control
2022 Personalized fake news aware recommendation system
2022 Measuring RocksDB performance and adaptive sampling for model estimation
2022 Neural probabilistic path prediction : skipping paths for acceleration
2022 Agent abstraction in multi-agent reinforcement learning
2022 Renormalization group theory, scaling laws and deep learning
2022 Attention, concentration, and distraction measure using EEG and eye tracking in virtual reality
2022 Imitation from observation using behavioral learning
2022 Automatically correcting syntactic and semantic errors in ATL transformations using multi-objective optimization
2021 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021 Efficient frequency-space methods for light transport caching
2021 Estimation de pose 2D par réseau convolutif