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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
2023-03 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 Analysis of the human corneal shape with machine learning
2023-01 Deep networks training and generalization: insights from linearization
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 Automatic taxonomy evaluation
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 Gestion manuelle et sécuritaire de la mémoire en Typer
2022-12 Stabilizing Q-Learning for continuous control
2022-12 Accelerated algorithms for temporal difference learning methods
2022-12 Attention, concentration, and distraction measure using EEG and eye tracking in virtual reality
2022-12 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2022-11 Extraction of UML class diagrams from natural language specifications
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
2022-10 Deep geometric probabilistic models
2022-10 Neural probabilistic path prediction : skipping paths for acceleration
2022-10 Adaptive learning of tensor network structures
2022-10 Contributions to generative models and their applications
2022-10 From specialists to generalists : inductive biases of deep learning for higher level cognition
2022-09 Semi-transparent textures based on opaque and transparent texels augmented with a thickness
2022-09 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2022-09 Generating graphical and projectional editors
2022-09 Autoencoders for natural language semantics
2022-09 Improving information subsampling with local inhibition
2022-09 Inductive biases for efficient information transfer in artificial networks
2022-08 DS-Fake : a data stream mining approach for fake news detection
2022-08 Personalized fake news aware recommendation system
2022-08 Sample efficient reinforcement learning for biological sequence design
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