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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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2022-09 Semi-transparent textures based on opaque and transparent texels augmented with a thickness
2022-09 Generating graphical and projectional editors
2022-09 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2022-09 Inductive biases for efficient information transfer in artificial networks
2022-09 Autoencoders for natural language semantics
2022-09 Improving information subsampling with local inhibition
2022-08 Generalization in federated learning
2022-08 A personality aware recommendation system
2022-08 DS-Fake : a data stream mining approach for fake news detection
2022-08 Personalized fake news aware recommendation system
2022-08 Latent data augmentation and modular structure for improved generalization
2022-08 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
2022-08 On discovering and learning structure under limited supervision
2022-08 (Out-of-distribution?) : generalization in deep learning
2022-08 Dynamics of learning and generalization in neural networks
2022-08 Sample efficient reinforcement learning for biological sequence design
2022-08 Learning to compare nodes in branch and bound with graph neural networks
2022-08 Adversarial games in machine learning : challenges and applications
2022-08 Évaluation de la charge mentale des pilotes en manœuvre aérienne
2022-08 Syntactic inductive biases for deep learning methods
2022-08 Renormalization group theory, scaling laws and deep learning
2022-08 A stochastic integer programming approach to reserve staff scheduling with preferences
2022-08 Understanding, improving, and generalizing generative models
2022-08 Controllable music performance synthesis via hierarchical modelling
2022-08 Local differentially private mechanisms for text privacy protection
2022-07 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2022-07 Stability-aware simplification of curve networks
2022-06 Agent abstraction in multi-agent reinforcement learning
2022-06 Problem hierarchies in continual learning
2022-06 Vers la sécurité des conteneurs : les comprendre et les sécuriser
2022-06 Accounting for variance and hyperparameter optimization in machine learning benchmarks
2022-05 Advances in generative models for dynamic scenes
2022-04 Game theoretical characterization of the multi-agent network expansion game
2022-04 City decision-making : optimization of the location and design of urban green spaces
2022-04 Développement d’un serveur LSP pour Typer
2022-04 Créer un corpus annoté en entités nommées avec Wikipédia et WikiData : de mauvais résultats et du potentiel
2022-04 Cyclopean optical flow
2022-04 Optimization tools for non-asymptotic statistics in exponential families
2022-04 Parametric Scattering Networks
2022-03 Une étude des graphes jumeaux via l'auto-abritement
2022-03 Incorporating health factors into food recommendation : experiments on real-world data from a weight-loss app
2022-03 Résolution d’un problème de collecte et livraison dynamique sur un réseau routier avec temps de parcours variables
2022-02 Apprentissage d'atlas cellulaires par la méthode de Factorized embeddings
2022-01 Differentiable world programs
2022-01 Measuring RocksDB performance and adaptive sampling for model estimation
2022-01 On the VC-dimension of Tensor Networks
2022-01 Traitement des données scRNA-seq issues de la technologie Drop-Seq : application à l’étude des réseaux transcriptionnels dans le cancer du sein
2022-01 On iterated learning for task-oriented dialogue
2021-12 A framework for domain-specific modeling on graph databases
2021-12 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations