ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.02271
  4. Cited By
Using generative adversarial networks to synthesize artificial financial
  datasets

Using generative adversarial networks to synthesize artificial financial datasets

6 February 2020
Dmitry Efimov
Di Xu
Luyang Kong
A. Nefedov
Archana Anandakrishnan
    GAN
ArXivPDFHTML

Papers citing "Using generative adversarial networks to synthesize artificial financial datasets"

6 / 6 papers shown
Title
Diffusion Transformers for Tabular Data Time Series Generation
Diffusion Transformers for Tabular Data Time Series Generation
Fabrizio Garuti
E. Sangineto
Simone Luetto
L. Forni
Rita Cucchiara
59
0
0
10 Apr 2025
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
Jaskaran Singh Walia
Aarush Sinha
Srinitish Srinivasan
Srihari Unnikrishnan
46
0
0
24 Feb 2025
Modelling and simulating spatial extremes by combining extreme value
  theory with generative adversarial networks
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Younes Boulaguiem
Jakob Zscheischler
Edoardo Vignotto
K. Wiel
Sebastian Engelke
15
3
0
30 Oct 2021
Wasserstein GAN: Deep Generation applied on Bitcoins financial time
  series
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series
Moritz Pfenninger
Samuel Rikli
Daniel Nico Bigler
Osterrieder Joerg
GAN
AI4TS
13
5
0
13 Jul 2021
Sequential Deep Learning for Credit Risk Monitoring with Tabular
  Financial Data
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data
Jillian M. Clements
Di Xu
N. Yousefi
Dmitry Efimov
28
41
0
30 Dec 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
1