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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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2022 Local differentially private mechanisms for text privacy protection
2022 Attention, concentration, and distraction measure using EEG and eye tracking in virtual reality
2022 Syntactic inductive biases for deep learning methods
2022 Semi-transparent textures based on opaque and transparent texels augmented with a thickness
2022 Understanding, improving, and generalizing generative models
2022 Neural probabilistic path prediction : skipping paths for acceleration
2022 Extraction of UML class diagrams from natural language specifications
2022 Personalized fake news aware recommendation system
2022 Une étude des graphes jumeaux via l'auto-abritement
2022 Parametric Scattering Networks
2022 Game theoretical characterization of the multi-agent network expansion game
2022 Cyclopean optical flow
2022 Traitement des données scRNA-seq issues de la technologie Drop-Seq : application à l’étude des réseaux transcriptionnels dans le cancer du sein
2022 Contributions to generative models and their applications
2022 Mixed-integer programming representation for symmetrical partition function form games
2022 Latent data augmentation and modular structure for improved generalization
2022 Automatic taxonomy evaluation
2021 Lifelong topological visual navigation
2021 Méthodes de décomposition basées sur la relaxation lagrangienne : cas du problème de transport avec coûts fixes
2021 Self-disclosure model for classifying & predicting text-based online disclosure
2021 Computation over partial information : a principled approach to accurate partial evaluation
2021 Continuous coordination as a realistic scenario for lifelong learning
2021 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2021 Acceleration and new analysis of convex optimization algorithms
2021 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021 Learning neural ordinary differential equations for optimal control
2021 Some phenomenological investigations in deep learning
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2021 Abstraction de comportement de haut niveau à l’aide de la visualisation interactive
2021 Job dissatisfaction detection through progress note
2021 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2021 Gentleman : a lightweight web-based projectional editor
2021 Locality and compositionality in representation learning for complex visual tasks
2021 Assessing neural network dynamics under normal and altered states of consciousness with MEG : methodological challenges and proposed solutions for atypical power spectra
2021 Extending domain-specific modeling editors with multi-touch interactions
2021 Extraction de comportements reproductibles en avatar virtuel
2021 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021 Renforcement de la sécurité à travers les réseaux programmables
2021 Utilisation du plongement du domaine pour l’adaptation non supervisée en traduction automatique
2021 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021 Better representation learning for TPMS
2021 Mechanical characterization of rigid discrete interlocking materials
2021 Pattern-based refactoring in model-driven engineering
2021 Steepest descent as Linear Quadratic Regulation
2021 On representation learning for generative models of text
2021 Variational aleatoric uncertainty calibration in neural regression
Number of results : 1659