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Found 3 essays matching the above criteria.

  1. 1. Nonlinear Methods of Aerodynamic Data-driven Reduced Order Modeling

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Arvid Forsberg; [2022]
    Keywords : machine learning; aerodynamics; autoencoder; kernel transformation; principal component analysis; nonlinear; regression; modeling; surrogate model; reduced order modeling; neural network;

    Abstract : Being able to accurately approximate outputs of computationally expensive simulations for arbitrary input parameters, also called missing points estimation, is central in many different areas of research and development with applications ranging from uncertainty propagation to control system design to name a few. This project investigates the potential of kernel transformations and nonlinear autoencoders as methods of improving the accuracy of the proper orthogonal decomposition method combined with regression. READ MORE

  3. 2. Analyzing the Negative Log-Likelihood Loss in Generative Modeling

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aleix Espuña I Fontcuberta; [2022]
    Keywords : Generative modeling; Normalizing flows; Generative Adversarial Networks; MaximumLikelihood Estimation; Real Non-Volume Preserving flow; Fréchet Inception Distance; Misspecification; Generativa metoder; Normalizing flows; Generative adversarial networks; Maximum likelihood-metoden; Real non-volume preserving flow; Fréchet inception distance; felspecificerade modeller;

    Abstract : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. READ MORE

  4. 3. Real Time Reachability Analysis for Marine Vessels

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sudakshin Ganesan; [2018]
    Keywords : Reachable set; Safety Verification; Marine dynamics; Machine Learning; Optimal control; Säkerhetsverifiering; nåbarhetsanalys; fartyg dynamisk;

    Abstract : Safety verification of continuous dynamical systems require the computationof the reachable set. The reachable set comprises those states the systemcan reach at a specific point in time. READ MORE