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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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2021 Tools for fluid simulation control in computer graphics
2021 Acceleration and new analysis of convex optimization algorithms
2021 Learning neural ordinary differential equations for optimal control
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Computation over partial information : a principled approach to accurate partial evaluation
2021 On quantifying the value of simulation for training and evaluating robotic agents
2021 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021 Locality and compositionality in representation learning for complex visual tasks
2021 Dialogue systems based on pre-trained language models
2021 Some phenomenological investigations in deep learning
2021 Tailored deep learning techniques for information retrieval
2021 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021 Étude de modèles neuronaux de questions-réponses
2021 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021 Typer a de la classe : le polymorphisme ad hoc dans un langage avec des types dépendants et de la métaprogrammation
2021 Creation of a vocal emotional profile (VEP) and measurement tools
2021 Reusable semantics for implementation of Python optimizing compilers
2021 Better representation learning for TPMS
2021 Towards computationally efficient neural networks with adaptive and dynamic computations
2021 Steepest descent as Linear Quadratic Regulation
2021 Personalized question-based cybersecurity recommendation systems
2021 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling
2021 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2021 Mechanical characterization of rigid discrete interlocking materials
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 Estimation de pose 2D par réseau convolutif
2021 Système intelligent pour le suivi et l’optimisation de l’état cognitif
2021 Lifelong topological visual navigation
2020 Advances in deep learning methods for speech recognition and understanding
2020 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2020 Articulating design-time uncertainty with DRUIDE
2020 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020 Learning discrete word embeddings to achieve better interpretability and processing efficiency
2020 VGCN-BERT : augmenting BERT with graph embedding for text classification : application to offensive language detection
2020 Evolution of domain-specific languages depending on external libraries
2020 Programming tools for intelligent systems
2020 Multi-player games in the era of machine learning
2020 Statistical physics of constraint satisfaction problems
2020 The load planning problem for double-stack intermodal trains
2020 The multilevel critical node problem : theoretical intractability and a curriculum learning approach
2020 Neural approaches to dialog modeling
2020 On improving variational inference with low-variance multi-sample estimators
2020 Towards deep unsupervised inverse graphics
2020 Personal information prediction from written texts
2020 European day-ahead electricity price forecasting
2020 Tactical block planning for intermodal rail transportation
2020 Estimation neuronale de l'information mutuelle
2020 Study and experimentation of cognitive decline measurements in a virtual reality environment