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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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1990 Modèle de distribution d'énergie électrique avec structure de réseau
1991 Outil graphique d'aide à la décision pour la résolution du problème de la distribution de l'énergie électrique
2023 Building sample-efficient reinforcement learning
2022 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2021 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2017 Dealing with heterogeneity in the prediction of clinical diagnosis
2022 Re-weighted softmax cross-entropy to control forgetting in federated learning
2022 Imitation from observation using behavioral learning
2024 Learning optimizers for communication-efficient distributed learning
1996 Contributions à l'étude du non-déterminisme restreint
2015 Investigating the Impact of Personal, Temporal and Participation Factors on Code Review Quality
2022 Génération de données : de l’anonymisation à la construction de populations synthétiques
2020 European day-ahead electricity price forecasting
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
2012 A dynamic sequential route choice model for micro-simulation
2018 Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques
2022 Measuring RocksDB performance and adaptive sampling for model estimation
2017 Évaluation de politiques de séquençage d'arrivées d'avions par Simulation Monte Carlo
2024 Parameter, experience, and compute efficient deep reinforcement learning
2022 Stabilizing Q-Learning for continuous control
2022 Sample efficient reinforcement learning for biological sequence design
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2023 Model-based hyperparameter optimization
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2024 Domain adaptation in reinforcement learning via causal representation learning
2021 Steepest descent as Linear Quadratic Regulation
2021 Learning neural ordinary differential equations for optimal control
2022 Accelerated algorithms for temporal difference learning methods
1996 Spécification formelle de systèmes d'information interactifs par la technique des scénarios
2002 Network information discovery and structural optimization in the WOS's context by using distributed algorithms
2002 Resource Warehouses : a distributed information management infrastructure
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Towards efficient and effective preference alignment for large language models
2023 Towards adaptive deep model-based reinforcement learning
2022 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
Number of results : 1500