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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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2021 Continuous coordination as a realistic scenario for lifelong learning
2021 Variational aleatoric uncertainty calibration in neural regression
2021 Méthodes de décomposition basées sur la relaxation lagrangienne : cas du problème de transport avec coûts fixes
2021 IIRC : Incremental Implicitly-Refined Classification
2021 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2021 Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
2021 Extended distribution effects for realistic appearance and light transport
2021 Efficient frequency-space methods for light transport caching
2021 Forecasting for operational planning of M1M systems
2021 Assessing neural network dynamics under normal and altered states of consciousness with MEG : methodological challenges and proposed solutions for atypical power spectra
2021 Image forgery detection using textural features and deep learning
2021 Gentleman : a lightweight web-based projectional editor
2021 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021 AI alignment and generalization in deep learning
2021 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021 Large state spaces and self-supervision in reinforcement learning
2021 A framework for domain-specific modeling on graph databases
2021 Towards fairness in Kidney Exchange Programs
2021 Extending domain-specific modeling editors with multi-touch interactions
2021 Renforcement de la sécurité à travers les réseaux programmables
2021 Pattern-based refactoring in model-driven engineering
2021 Contributions à la sonification d’image et à la classification de sons
2022 Extraction of UML class diagrams from natural language specifications
2022 Agent abstraction in multi-agent reinforcement learning
2022 Une étude des graphes jumeaux via l'auto-abritement
2022 DS-Fake : a data stream mining approach for fake news detection
2022 Learning to compare nodes in branch and bound with graph neural networks
2022 City decision-making : optimization of the location and design of urban green spaces
2022 Renormalization group theory, scaling laws and deep learning
2022 Imitation from observation using behavioral learning
2022 On discovering and learning structure under limited supervision
2022 Optimization tools for non-asymptotic statistics in exponential families
2022 Stabilizing Q-Learning for continuous control
2022 Automatically correcting syntactic and semantic errors in ATL transformations using multi-objective optimization
2022 Développement d’un serveur LSP pour Typer
2022 Parametric Scattering Networks
2022 Measuring RocksDB performance and adaptive sampling for model estimation
2022 Semi-transparent textures based on opaque and transparent texels augmented with a thickness
2022 Sample efficient reinforcement learning for biological sequence design
2022 Neural probabilistic path prediction : skipping paths for acceleration
Number of results : 1658