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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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2022-12 Accelerated algorithms for temporal difference learning methods
2024-01 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2022-12 Stabilizing Q-Learning for continuous control
2018-03 Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques
2012-09 A dynamic sequential route choice model for micro-simulation
2022-01 Measuring RocksDB performance and adaptive sampling for model estimation
2012-12 Revisiting optimization algorithms for maximum likelihood estimation
2017-09 Évaluation de politiques de séquençage d'arrivées d'avions par Simulation Monte Carlo
2020-05 Leveraging deep reinforcement learning in the smart grid environment
2016-08 Development of new scenario decomposition techniques for linear and nonlinear stochastic programming
2020-01 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2022-11 Génération de données : de l’anonymisation à la construction de populations synthétiques
2020-05 European day-ahead electricity price forecasting
2015-07 Investigating the Impact of Personal, Temporal and Participation Factors on Code Review Quality
2022-11 Imitation from observation using behavioral learning
2022-12 Re-weighted softmax cross-entropy to control forgetting in federated learning
2017-08 Dealing with heterogeneity in the prediction of clinical diagnosis
2021-08 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2023-04 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023-07 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2022-11 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2023-11 Building sample-efficient reinforcement learning
2017-08 Feedforward deep architectures for classification and synthesis
2016-09 Bidirectional Helmholtz Machines
2009-11 Échantillonnage dynamique de champs markoviens
2009-11 Sequential Machine learning Approaches for Portfolio Management
2010-10 Understanding deep architectures and the effect of unsupervised pre-training
2013-09 Algorithmes d’apprentissage profonds supervisés et non-supervisés: applications et résultats théoriques
2023-12 Towards an extension of causal discovery with generative flow networks to latent variables models
2019-06 Improved training of energy-based models
2022-08 Latent data augmentation and modular structure for improved generalization
2012-03 Apprentissage machine efficace : théorie et pratique
2009-08 Training deep convolutional architectures for vision
2011-03 Incorporating complex cells into neural networks for pattern classification
2022-10 Contributions to generative models and their applications
2003 Accélérer l'entraînement d'un modèle non-paramétrique de densité non normalisée par échantillonnage aléatoire
2012-09 Algorithmes d'apprentissage pour la recommandation
2015-06 Advances in scaling deep learning algorithms
2019-07 Learning competitive ensemble of information-constrained primitives
2022-10 From specialists to generalists : inductive biases of deep learning for higher level cognition
2014-11 Apprentissage des réseaux de neurones profonds et applications en traitement automatique de la langue naturelle
2011-08 Réseaux de neurones à relaxation entraînés par critère d'autoencodeur débruitant
2014-05 On Recurrent and Deep Neural Networks
2007 Modèles Pareto hybrides pour distributions asymétriques et à queues lourdes
2001 Contributions à la compression de données
2018-02 Reparametrization in deep learning
2021-08 Towards computationally efficient neural networks with adaptive and dynamic computations
2018-07 Difference target propagation
2023-08 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2020-08 Neural approaches to dialog modeling
Number of results : 1178