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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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2025 Uncertainty quantification metrics for scientific application
2025 Toward neural networks that generalize systematically
2025 Classical and quantum decoding algorithms with ZX-Calculus
2025 Modeling the world to reason and plan
2025 CLIP-Enhance : improving CLIP zero-shot classification via von Mises-Fisher clustering
2025 Combining large language models with static analyzers for code review generation
2025 Towards optimal knowledge transfer for efficient language models
2025 3D generative models and score-based diffusion in function space
2025 Pour une IA plus responsable, détection de biais dans les entrevues de recrutement
2025 Machine learning through the sciences of the artificial
2025 Revisiting the security of quantum bit commitment schemes
2025 Strategic capacity planning and pricing : a choice-based approach
2025 Designing scalable and efficient neural networks
2025 Towards more robust theoretical frameworks for deep neural network optimization
2025 Nouvelle contraction algébrique appliquée au problème de tarification de réseau
2025 AI in climate change adaptation : applications to remote sensing and climate science
2025 Deep generative modeling of atomistic systems
2025 Évaluation de la confiance dans les modèles épidémiologiques guidée par la provenance : une approche de manipulation formelle des modèles
2025 Unified scientific knowledge representation for large language models
2025 Rapid prototyping for systematic reuse in compartmental models
2025 Multi-contrast image-to-image translation for axon and myelin segmentation
2025 Towards accurate RNA structural evaluation : a study of RNA tertiary structural evaluation and ARES performance improvement
2025 Matrix theory and hardware implementation of linear recurrences
2025 Segmentation automatisée des nerfs cornéens sous-basal utilisant l'apprentissage profond
2025 Enhancing electrophysiology imaging through artificial intelligence
2025 Robust, efficient, and knowledge-augmented text generation with pre-trained language models
2025 Learning equivalence hash functions
2025 Machine learning accelerated stochastic optimization and applications to railway operations
2025 Competitive EV charging station location with queues
2025 Learning generative models from a control perspective