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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
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Methods for solving combinatorial pricing problems
2023 AI for molecule discovery with multi-modal knowledge
2023 Domain-specific differencing and merging of models
2023 Deep learning algorithms for database-driven peptide search
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Contextual cues for deep learning models of code
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Emergence of language-like latents in deep neural networks
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Co-simulation for controlled environment agriculture
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Analysis and evaluation of the pilot attentional model
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Building sample-efficient reinforcement learning
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Analysis of the human corneal shape with machine learning
2023 Training large multimodal language models with ethical values
2023 Towards adaptive deep model-based reinforcement learning
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Deep networks training and generalization: insights from linearization
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023 Calibrated uncertainty estimation for SLAM
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Conditional generative modeling for images, 3D animations, and video
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Automatic symbolic melody generation from lyrics
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Efficient reformulations for deterministic and choice-based network design problems
Nombre de résultats : 1497