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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 ascending order Title Sort by title in ascending order
2018 Prédiction et génération de données structurées à l'aide de réseaux de neurones et de décisions discrètes
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2025 Designing scalable and efficient neural networks
2004 Méthodes à noyaux appliquées à la gestion de portefeuille
2010 Understanding deep architectures and the effect of unsupervised pre-training
1999 Utilisation d'hyper-paramètres pour la sélection de variables
2024 Generative flow networks : theory and applications to structure learning
2022 Latent data augmentation and modular structure for improved generalization
2024 Deep learning applications to climate change mitigation
2009 Échantillonnage dynamique de champs markoviens
2015 Advances in scaling deep learning algorithms
2018 Representation Learning for Visual Data
2014 Deep learning of representations and its application to computer vision
2014 Distributed conditional computation
2017 Exploring Attention Based Model for Captioning Images
2014 Leveraging noisy side information for disentangling of factors of variation in a supervised setting
2017 Learning visual representations with neural networks for video captioning and image generation
2013 Improving sampling, optimization and feature extraction in Boltzmann machines
2025 Learning generative models from a control perspective
2016 Sequential modeling, generative recurrent neural networks, and their applications to audio
Number of results : 1619