Fin-GAN: Forecasting and Classifying Financial Time Series via Generative Adversarial Networks-Reference-Cited by-同舟云学术

Fin-GAN: Forecasting and Classifying Financial Time Series via Generative Adversarial Networks

Published:2023 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Vuletić Milena,Prenzel Felix,Cucuringu Mihai

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference59 articles.

1. Towards Principled Methods for Training Generative Adversarial Networks;M Arjovsky;International Conference on Learning Representations,2017

2. Wasserstein Generative Adversarial Networks;M Arjovsky;International Conference on Machine Learning,2017

3. Generating synthetic data in finance: opportunities, challenges and pitfalls;S A Assefa;Proceedings of the First ACM International Conference on AI in Finance,2020

4. ExGAN: Adversarial Generation of Extreme Samples;S Bhatia;Proceedings of the AAAI Conference on Artificial Intelligence,2021

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