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 ascending order Title Sort by title in ascending order
2023-08 Towards adaptive deep model-based reinforcement learning
2023-08 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023-08 Remote sensing representation learning for a species distribution modeling case study
2023-08 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023-08 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023-08 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023-08 Sequential decision modeling in uncertain conditions
2023-08 Weak core solution for the non-transferable utility kidney exchange game
2023-08 A multi-agent nudge-based approach for disclosure mitigation online
2023-08 Toward causal representation and structure learning
2023-08 Reasoning with structure : graph neural networks algorithms and applications
2023-08 Analysis and evaluation of the pilot attentional model
2023-08 Improving predictive behavior under distributional shift
2023-08 Automatic symbolic melody generation from lyrics
2023-08 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023-07 Adding hygiene to gambit scheme
2023-07 Conditional generative modeling for images, 3D animations, and video
2023-07 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023-07 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023-07 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression