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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 Towards adaptive deep model-based reinforcement learning
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 On choice models in the context of MDPs
2023 AI for molecule discovery with multi-modal knowledge
2023 Differentiable best response shaping
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 Vers la mitigation des biais en traitement neuronal des langues
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Fear prediction for training robust RL agents
2023 Emergence of language-like latents in deep neural networks
2023 Co-simulation for controlled environment agriculture
2023 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 Conditional generative modeling for images, 3D animations, and video
2023 Automatic symbolic melody generation from lyrics
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Contextual cues for deep learning models of code
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Apprentissage de descripteurs locaux pour l’amélioration des systèmes de SLAM visuel
2023 Data-driven optimization of bus schedules under uncertainties
2023 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023 Sketch-based interactive shape deformation using shading isophotes
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Probability flows in deep learning
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Towards a unified model for speech and language processing
2022 Sample efficient reinforcement learning for biological sequence design
2022 Génération de données : de l’anonymisation à la construction de populations synthétiques
2022 Improving information subsampling with local inhibition
2022 (Out-of-distribution?) : generalization in deep learning
2022 Understanding, improving, and generalizing generative models
2022 DS-Fake : a data stream mining approach for fake news detection
2022 Contributions to generative models and their applications
2022 On iterated learning for task-oriented dialogue
2022 Dynamics of learning and generalization in neural networks
2022 On the VC-dimension of Tensor Networks
2022 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2022 City decision-making : optimization of the location and design of urban green spaces