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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 Sort by date in descending order Title Sort by title in descending order
2015 Investigating the Impact of Personal, Temporal and Participation Factors on Code Review Quality
2020 European day-ahead electricity price forecasting
2022 Génération de données : de l’anonymisation à la construction de populations synthétiques
2020 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2016 Development of new scenario decomposition techniques for linear and nonlinear stochastic programming
2020 Leveraging deep reinforcement learning in the smart grid environment
2012 Revisiting optimization algorithms for maximum likelihood estimation
2018 Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques
2012 A dynamic sequential route choice model for micro-simulation
2022 Measuring RocksDB performance and adaptive sampling for model estimation
2017 Évaluation de politiques de séquençage d'arrivées d'avions par Simulation Monte Carlo
2022 Stabilizing Q-Learning for continuous control
2024 Parameter, experience, and compute efficient deep reinforcement learning
2021 Steepest descent as Linear Quadratic Regulation
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2022 Sample efficient reinforcement learning for biological sequence design
2022 Accelerated algorithms for temporal difference learning methods
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2023 Model-based hyperparameter optimization
2021 Learning neural ordinary differential equations for optimal control
2024 Domain adaptation in reinforcement learning via causal representation learning
1996 Spécification formelle de systèmes d'information interactifs par la technique des scénarios
2002 Resource Warehouses : a distributed information management infrastructure
2002 Network information discovery and structural optimization in the WOS's context by using distributed algorithms
2026 Designing interaction and management for AI agent memory : design space, metaphors, and interactive conflict management
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2025 Modeling the world to reason and plan
2024 Towards efficient and effective preference alignment for large language models
2021 IIRC : Incremental Implicitly-Refined Classification
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2026 On the consolidation of knowledge in large language models
2022 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2023 Towards adaptive deep model-based reinforcement learning
2006 An intelligent help system to support teachers to author learning sessions in decision-making in network design
2017 Caractérisation et étude de l’impact des permissions dans les applications mobiles
2023 Training large multimodal language models with ethical values
2020 Personal information prediction from written texts
2004 MyHouse : un système de négociation multi-critères dans le commerce électronique, appliqué au domaine du courtage immobilier
2012 Impacts and Detection of Design Smells
2012 Towards a Privacy-enhanced Social Networking Site