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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 Remote sensing representation learning for a species distribution modeling case study
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 Computational modeling and design of nonlinear mechanical systems and materials
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Analysis and evaluation of the pilot attentional model
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Generative models : from data generation to representation learning
2023 Fear prediction for training robust RL agents
2023 Calibrated uncertainty estimation for SLAM
2023 Building sample-efficient reinforcement learning
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Few-shot prompt learning for automating model completion
2023 Learning and planning with noise in optimization and reinforcement learning
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Toward causal representation and structure learning
2023 Adding hygiene to gambit scheme
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Towards adaptive deep model-based reinforcement learning
2023 Data-driven optimization of bus schedules under uncertainties
2023 Training large multimodal language models with ethical values
2023 Deep networks training and generalization: insights from linearization
2023 Analysis of the human corneal shape with machine learning
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2022 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2022 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2022 City decision-making : optimization of the location and design of urban green spaces
2022 Game theoretical characterization of the multi-agent network expansion game
2022 Stability-aware simplification of curve networks
2022 Contributions to generative models and their applications
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 Re-weighted softmax cross-entropy to control forgetting in federated learning
2022 Résolution d’un problème de collecte et livraison dynamique sur un réseau routier avec temps de parcours variables
2022 Advances in generative models for dynamic scenes
2022 Understanding, improving, and generalizing generative models
2022 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2022 Incorporating health factors into food recommendation : experiments on real-world data from a weight-loss app
2022 Latent data augmentation and modular structure for improved generalization
2022 Accounting for variance and hyperparameter optimization in machine learning benchmarks
Number of results : 1645