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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 Entanglement-assisted communication complexity and nonlocal games
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Calibrated uncertainty estimation for SLAM
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Computational modeling and design of nonlinear mechanical systems and materials
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Vers la mitigation des biais en traitement neuronal des langues
2023 Conditional generative modeling for images, 3D animations, and video
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 On impact of mixing times in continual reinforcement learning
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Towards efficient and effective preference alignment for large language models
2024 Generative flow networks : theory and applications to structure learning
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Quotient Types in Typer
2024 Geometric-aware models for protein design
2024 Mobility anomaly detection with intelligent video surveillance
2024 Towards maintainable machine learning development through continual and modular learning
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 Rule-based data augmentation for document-level medical concept extraction
2024 Deep learning applications to climate change mitigation
2024 Learning optimizers for communication-efficient distributed learning
2024 Dynamic capacities and priorities in stable matching
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Modelling and evolving design-time uncertainty
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Understanding our 3D world via generative modeling
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
Number of results : 1658