# Generalized Pareto GAN: Generating Extremes of Distributions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generalized-pareto-gan-generating-extremes-of-distributions/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jun Li,Dingcheng Li,Ping Li,Gennady Samorodnitsky |
| Citations | 2 |
| DOI | 10.1109/ijcnn60899.2024.10650414 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4402351383 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Dingcheng Li](https://scholariq.org/researchers/dingcheng-li/)

## Paper primary topic

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Paper topics

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.