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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 décroissant Titre Trier par titre en ordre décroissant
2023 Deep networks training and generalization: insights from linearization
2023 Towards adaptive deep model-based reinforcement learning
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 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Differentiable best response shaping
2023 Sequential decision modeling in uncertain conditions
2023 Analysis of the human corneal shape with machine learning
2023 Improving predictive behavior under distributional shift
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 On impact of mixing times in continual reinforcement learning
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Co-simulation for controlled environment agriculture
2023 Training large multimodal language models with ethical values
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Deep learning algorithms for database-driven peptide search
2023 Analysis and evaluation of the pilot attentional model
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Domain-specific differencing and merging of models
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Emergence of language-like latents in deep neural networks
2024 Searching for Q*
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
Nombre de résultats : 1620