Essays about: "Generative modeling"
Showing result 1 - 5 of 27 essays containing the words Generative modeling.
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1. Visualization and analysis of object states using diffusion models and PyTorch
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE
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2. Predicting the Unpredictable – Using Language Models to Assess Literary Quality
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : People read for various purposes like learning specific skills, acquiring foreign languages, and enjoying the pure reading experience, etc. This kind of pure enjoyment may credit to many aspects, such as the aesthetics of languages, the beauty of rhyme, and the entertainment of being surprised by what will happen next, the last of which is typically featured in fictional narratives and is also the main topic of this project. READ MORE
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3. Possibilities and Challenges of City Planning using 3D Visualization : A systematic literature review on the possibilities of city visualization using 3D computer graphics and the utility of parametric design
University essay from Blekinge Tekniska HögskolaAbstract : There exist numerous previously conducted surveys, studies and written articles on the topic of 3D geo-visualization. The subject has been pursued increasingly for the last two decades. In the late 1960s, digital earth, the idea of a digital copy of the real world was first proposed. However, hardware capabilities were limited. READ MORE
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4. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE
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5. 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
