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Faculté des arts et des sciences
Faculté des arts et des sciences – Département d'informatique et de recherche opérationnelle
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Faculté des arts et des sciences
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Learning and planning with noise in optimization and reinforcement learning
[1]
Learning and time : on using memory and curricula for language understanding
[1]
Learning competitive ensemble of information-constrained primitives
[1]
Learning discrete word embeddings to achieve better interpretability and processing efficiency
[1]
Learning neural ordinary differential equations for optimal control
[1]
Learning representations for Information Retrieval
[1]
Learning to compare nodes in branch and bound with graph neural networks
[1]
Learning to sample from noise with deep generative models
[1]
Learning visual representations with neural networks for video captioning and image generation
[1]
Learning-Based Matheuristic Solution Methods for Stochastic Network Design
[1]
Leveraging deep reinforcement learning in the smart grid environment
[1]
Leveraging distant supervision for improved named entity recognition
[1]
Leveraging foundation models towards semantic world representations for robotics
[1]
Leveraging noisy side information for disentangling of factors of variation in a supervised setting
[1]
Leveraging self-supervision for visual embodied navigation with neuralized potential fields
[1]
Lexicographic optimization for the multi-container loading problem with open dimensions for a shoe manufacturer
[1]
Une librairie orientée-objet pour la simulation des réseaux stochastiques dynamiques
[1]
A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
[1]
Lifelong learning of concepts in CRAFT
[1]
Lifelong topological visual navigation
[1]
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