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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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2022-11 Mixed-integer programming representation for symmetrical partition function form games
2022-10 From specialists to generalists : inductive biases of deep learning for higher level cognition
2022-10 Deep geometric probabilistic models
2022-10 Contributions to generative models and their applications
2022-10 Adaptive learning of tensor network structures
2022-10 Neural probabilistic path prediction : skipping paths for acceleration
2022-09 Generating graphical and projectional editors
2022-09 Inductive biases for efficient information transfer in artificial networks
2022-09 Improving information subsampling with local inhibition
2022-09 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2022-09 Semi-transparent textures based on opaque and transparent texels augmented with a thickness
2022-09 Autoencoders for natural language semantics
2022-08 Generalization in federated learning
2022-08 Controllable music performance synthesis via hierarchical modelling
2022-08 Sample efficient reinforcement learning for biological sequence design
2022-08 Local differentially private mechanisms for text privacy protection
2022-08 Understanding, improving, and generalizing generative models
2022-08 Renormalization group theory, scaling laws and deep learning
2022-08 Adversarial games in machine learning : challenges and applications
2022-08 Personalized fake news aware recommendation system