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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
2025 Towards optimal knowledge transfer for efficient language models
2025 A study of the role of entanglement in quantum kernel models
2025 La reconnaissance faciale par l’IA et par les humains : une étude comparative combinant réseaux de neurones artificiels et l'imagerie cérébrale
2025 Learning generative models from a control perspective
2025 A survey of state representation learning for deep reinforcement learning
2025 Uncertainty quantification metrics for scientific application
2025 Human action recognition based on skeleton graph neural networks using self-distillation
2025 Improving lexical diversity of neural machine translation using GAN and knowledge distillation
2025 Improving object detection with knowledge graph
2025 Scam detection with large language models : multimodal risk analysis of URLs and chat messages
2025 Evaluating and improving mathematical reasoning in large language models via skill combinations
2025 Modeling cellular response to biological perturbations
2025 Empowering code review automation : a data-centric, multi-task-driven, and human-aware approach
2025 Le problème de routage des locomotives au CN : une nouvelle approche pour des solutions plus résilientes
2025 Automatic screening of articles for systematic reviews using large language models
2025 Inferring 2D and 3D character animation from sketches
2025 Stereoscopic depth estimation with permutation
2025 View-dependent deformation fields for 2D editing of 3D models
2025 Neural architectures for compositional generalisation
2025 Competitive EV charging station location with queues
2025 Resource allocation under stochastic demand : applications in ridesharing and home healthcare systems
2025 Strategic capacity planning and pricing : a choice-based approach
2025 Metacognitive architecture for perceptual and social systems : a neuro-inspired metacognition approach
2025 Towards accurate RNA structural evaluation : a study of RNA tertiary structural evaluation and ARES performance improvement
2025 Investigating the impact of training data coverage on large language model hallucinations
2025 CLIP-Enhance : improving CLIP zero-shot classification via von Mises-Fisher clustering
2025 AI in climate change adaptation : applications to remote sensing and climate science
2025 Modélisation et analyse des données pour la simulation ferroviaire et la prévision des horaires en temps réel
2025 Leveraging machine reading comprehension to mitigate hallucinations in answer generation by large language models
2025 Designing scalable and efficient neural networks
2025 Modeling the world to reason and plan
2025 Robust, efficient, and knowledge-augmented text generation with pre-trained language models
2025 CyberPRIcards : un jeu sérieux pour la sensibilisation à la vie privée et l’intimité numérique
2025 Robustesse des réseaux neuronaux sur graphes
2025 Compromising creativity with feature modeling and metamodeling
2025 Learning under constraints
2025 Towards adaptive personalization in conversational search
2025 Toward neural networks that generalize systematically
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2025 Data-driven large neighbourhood search for combinatorial optimization problems