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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 Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2025 Matrix theory and hardware implementation of linear recurrences
2015 Advances in scaling deep learning algorithms
2024 Generative flow networks : theory and applications to structure learning
2017 Feedforward deep architectures for classification and synthesis
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2019 Learning competitive ensemble of information-constrained primitives
2012 Algorithmes d'apprentissage pour la recommandation
2018 Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
2003 Modèles à noyaux à structure locale
2016 Bidirectional Helmholtz Machines
2018 Improved training of generative models
2009 Training deep convolutional architectures for vision
2020 Advances in deep learning methods for speech recognition and understanding
2007 Modèles Pareto hybrides pour distributions asymétriques et à queues lourdes
2026 Understanding and improving vision-language models through the lens of the binding problem
2014 Leveraging noisy side information for disentangling of factors of variation in a supervised setting
2014 Distributed conditional computation
2017 Learning visual representations with neural networks for video captioning and image generation
2016 Sequential modeling, generative recurrent neural networks, and their applications to audio
2025 Learning generative models from a control perspective