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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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2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Probability flows in deep learning
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023 AI for molecule discovery with multi-modal knowledge
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Towards adaptive deep model-based reinforcement learning
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Estimation de cartes d'énergie du bruit apériodique de la marche humaine avec une caméra de profondeur pour la détection de pathologies et modèles légers de détection d'objets saillants basés sur l'opposition de couleurs
2023 Context-aware ranking : from search to dialogue
2023 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2023 Domain-specific differencing and merging of models
2023 Building sample-efficient reinforcement learning
2023 Emergence of language-like latents in deep neural networks
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Data-driven optimization of bus schedules under uncertainties
2023 Improving predictive behavior under distributional shift
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Analysis and evaluation of the pilot attentional model
2023 Contextual cues for deep learning models of code
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Differentiable best response shaping
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Fear prediction for training robust RL agents
2023 A multi-agent nudge-based approach for disclosure mitigation online
Number of results : 1658