Essays about: "Generative adversarial networks"
Showing result 21 - 25 of 143 essays containing the words Generative adversarial networks.
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21. Scenario Generation for Stress Testing Using Generative Adversarial Networks : Deep Learning Approach to Generate Extreme but Plausible Scenarios
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Central Clearing Counterparties play a crucial role in financial markets, requiring robust risk management practices to ensure operational stability. A growing emphasis on risk analysis and stress testing from regulators has led to the need for sophisticated tools that can model extreme but plausible market scenarios. READ MORE
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22. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. READ MORE
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23. Generating Extreme Value Distributions in Finance using Generative Adversarial Networks
University essay from KTH/Matematik (Avd.)Abstract : This thesis aims to develop a new model for stress-testing financial portfolios using Extreme Value Theory (EVT) and General Adversarial Networks (GANs). The current practice of risk management relies on mathematical or historical models, such as Value-at-Risk and expected shortfall. READ MORE
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24. Fingerprint Synthesis Using Deep Generative Models
University essay from Lunds universitet/Matematik LTHAbstract : The advancements in biometric technology have amplified the need for more robust fingerprint synthesis techniques. In this thesis, we first explored the application of synthesizing normal fingerprint images in high fidelity using deep generative models (e.g. READ MORE
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25. Are these numbers real?
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Smart manufacturing refers to the use of digitalization for improving and automating manufacturing processes. One use case is artificial intelligence (AI) used in quality control, which can reduce production costs and heavy labor. Training AI models requires large amounts of annotated data, which can be costly to obtain. READ MORE