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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 Revisiting the security of quantum bit commitment schemes
2025 Interpreting and generating drawings via learning, geometry processing, and optimization
2025 Vers des jumeaux numériques intelligents en agriculture en environnement contrôlé : contributions conjointes en détection de fruits par vision et en simulation trans-domaines.
2025 Technical methods for governing AI agents
2025 Connecting neural networks, automata theory and tensor network methods for sequence data learning
2025 Enhancing electrophysiology imaging through artificial intelligence
2025 LLMs for experiment design in scientific domains : are we there yet?
2025 Human action recognition based on skeleton graph neural networks using self-distillation
2025 Rapid prototyping for systematic reuse in compartmental models
2025 Towards optimal knowledge transfer for efficient language models
2025 Modeling cellular response to biological perturbations
2025 Towards accurate RNA structural evaluation : a study of RNA tertiary structural evaluation and ARES performance improvement
2025 Le problème de routage des locomotives au CN : une nouvelle approche pour des solutions plus résilientes
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2025 Inferring 2D and 3D character animation from sketches
2025 Leveraging machine reading comprehension to mitigate hallucinations in answer generation by large language models
2025 Multi-contrast image-to-image translation for axon and myelin segmentation
2025 Investigating the impact of training data coverage on large language model hallucinations
2025 Classical and quantum decoding algorithms with ZX-Calculus
2025 Toward neural networks that generalize systematically
2025 Competitive EV charging station location with queues
2025 Combining large language models with static analyzers for code review generation
2025 View-dependent deformation fields for 2D editing of 3D models
2025 Improving lexical diversity of neural machine translation using GAN and knowledge distillation
2025 Scam detection with large language models : multimodal risk analysis of URLs and chat messages
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Self-supervision for reinforcement learning
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Building intuitive reinforcement learning algorithms
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Generative models, theory and applications
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 Understanding our 3D world via generative modeling