Passer au contenu

/ Département d'informatique et de recherche opérationnelle

Je donne

Rechercher

Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

For a detailed search
 Visit Papyrus
Date Sort by date in descending order Title Sort by title in descending order
2015-06 Advances in scaling deep learning algorithms
2012-09 Algorithmes d'apprentissage pour la recommandation
2003 Accélérer l'entraînement d'un modèle non-paramétrique de densité non normalisée par échantillonnage aléatoire
2022-10 Contributions to generative models and their applications
2011-03 Incorporating complex cells into neural networks for pattern classification
2009-08 Training deep convolutional architectures for vision
2012-03 Apprentissage machine efficace : théorie et pratique
2022-08 Latent data augmentation and modular structure for improved generalization
2019-06 Improved training of energy-based models
2023-12 Towards an extension of causal discovery with generative flow networks to latent variables models
2013-09 Algorithmes d’apprentissage profonds supervisés et non-supervisés: applications et résultats théoriques
2010-10 Understanding deep architectures and the effect of unsupervised pre-training
2009-11 Sequential Machine learning Approaches for Portfolio Management
2009-11 Échantillonnage dynamique de champs markoviens
2016-09 Bidirectional Helmholtz Machines
2017-08 Feedforward deep architectures for classification and synthesis
2023-11 Building sample-efficient reinforcement learning
2022-11 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2023-07 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023-04 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2021-08 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2017-08 Dealing with heterogeneity in the prediction of clinical diagnosis
2022-12 Re-weighted softmax cross-entropy to control forgetting in federated learning
2022-11 Imitation from observation using behavioral learning
2015-07 Investigating the Impact of Personal, Temporal and Participation Factors on Code Review Quality
2020-05 European day-ahead electricity price forecasting
2022-11 Génération de données : de l’anonymisation à la construction de populations synthétiques
2020-01 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2016-08 Development of new scenario decomposition techniques for linear and nonlinear stochastic programming
2020-05 Leveraging deep reinforcement learning in the smart grid environment
2017-09 Évaluation de politiques de séquençage d'arrivées d'avions par Simulation Monte Carlo
2012-12 Revisiting optimization algorithms for maximum likelihood estimation
2022-01 Measuring RocksDB performance and adaptive sampling for model estimation
2012-09 A dynamic sequential route choice model for micro-simulation
2018-03 Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques
2022-12 Stabilizing Q-Learning for continuous control
2024-01 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2022-12 Accelerated algorithms for temporal difference learning methods
2021-08 Steepest descent as Linear Quadratic Regulation
2021-08 Parsimonious reasoning in reinforcement learning for better credit assignment
Number of results : 1178