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Showing result 1 - 5 of 10 essays matching the above criteria.

1. 1. Latent Data-Structures for Complex State Representation : A Steppingstone to Generating Synthetic 5G RAN data using Deep Learning

   University essay from Uppsala universitet/Högenergifysik

   Author : Jakob Häggström; [2023]
   Keywords : Data Science; Machine Learning; Generative models; Artificial Intelligence; 5GRAN;

   Abstract : The aim of this thesis is to investigate the feasibility of applying generative deep learning models on data related to 5G Radio Access Networks (5GRAN). Simulated data is used in order to develop the generative models, and this project serves as a proof of concept for further applications on real data. READ MORE

3. 2. 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 statistik

   Author : Jonas Gustafsson; Conrad Jonsson; [2023]
   Keywords : Machine Learning; Generative Adversarial Network GAN ; Wasserstein Generative Adversarial Network WGAN ; Scenario Generation; Stress Testing; Central Counterparty Clearing;

   Abstract : 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

4. 3. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks

   University essay from Uppsala universitet/Högenergifysik

   Author : Anton Holmberg; [2022]
   Keywords : Askaryan emission; Radio detection of neutrinos; in-ice propagation; neutrino; Generative adversarial networks; GAN; WGAN; Neural networks; NN; surrogate model; IceCube; deep learning; generative model;

   Abstract : Neutrino astronomy is expanding into the ultra-high energy (>1017eV) frontier with the use of in-ice detection of Askaryan radio emission from neutrino-induced particle showers. There are already pilot arrays for validating the technology and the next few years will see the planning and construction of IceCube-Gen2, an upgrade to the current neutrino telescope IceCube. READ MORE

5. 4. Generative Adversarial Networks in Lip-Synchronized Deepfakes for Personalized Video Messages

   University essay from Lunds universitet/Matematik LTH

   Author : Johan Liljegren; Pontus Nordqvist; [2021]
   Keywords : Generative Adversarial Networks; GAN; Lip-Synchronization; Deepfake; Deep Learning; Autoencoder; WGAN; WGAN-GP; L1WGAN-GP; Skip-Connections; FID-Score; Mathematics and Statistics; Technology and Engineering;

   Abstract : The recent progress of deep learning has enabled more powerful frameworks to create good-quality deepfakes. Deepfakes, which are mostly known for malicious purposes, have great potential to be useful in areas such as the movie industry, education, and personalized messaging. READ MORE

6. 5. Value at Risk Estimation with Generative Adversarial Networks

   University essay from Lunds universitet/Statistiska institutionen

   Author : David Tobjörk; [2021]
   Keywords : generative adversarial networks value at risk finance machine learning neural networks; Mathematics and Statistics;

   Abstract : Risk is of large importance for financial institutions and there are many different measures that can be used. A popular one is value at risk (VaR), which is the maximum likely loss for a portfolio of financial assets. Different methods of estimating it has been suggested, one often described is the variance-covariance method. READ MORE