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1907.06673
Cited By
Quant GANs: Deep Generation of Financial Time Series
15 July 2019
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GAN
AI4TS
AIFin
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Papers citing
"Quant GANs: Deep Generation of Financial Time Series"
50 / 88 papers shown
Title
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
Bokai Cao
Saizhuo Wang
Xinyi Lin
Xiaojun Wu
Haohan Zhang
L. Ni
Jian Guo
AIFin
57
0
0
27 Mar 2025
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
Bokai Cao
Xueyuan Lin
Yiyan Qi
Chengjin Xu
Cehao Yang
Jian Guo
40
0
0
23 Mar 2025
Synthetic Data Generation for Minimum-Exposure Navigation in a Time-Varying Environment using Generative AI Models
Nachiket U. Bapat
Randy C. Paffenroth
Raghvendra V. Cowlagi
52
0
0
09 Mar 2025
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
Jaskaran Singh Walia
Aarush Sinha
Srinitish Srinivasan
Srihari Unnikrishnan
49
0
0
24 Feb 2025
Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics
Andrew Lesniewski
Giulio Trigila
DiffM
80
0
0
21 Nov 2024
Time-Causal VAE: Robust Financial Time Series Generator
Beatrice Acciaio
Stephan Eckstein
Songyan Hou
AI4TS
30
2
0
05 Nov 2024
Variational Neural Stochastic Differential Equations with Change Points
Yousef El-Laham
Zhongchang Sun
Haibei Zhu
Tucker Balch
Svitlana Vyetrenko
26
0
0
01 Nov 2024
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities
Achintya Gopal
32
0
0
02 Aug 2024
Universal randomised signatures for generative time series modelling
Francesca Biagini
Lukas Gonon
Niklas Walter
40
4
0
14 Jun 2024
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
AI4TS
40
2
0
04 Jun 2024
Learning heavy-tailed distributions with Wasserstein-proximal-regularized
α
α
α
-divergences
Ziyu Chen
Hyemin Gu
M. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
34
0
0
22 May 2024
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
Jingyi Gu
Wenlu Du
Guiling Wang
19
0
0
16 Feb 2024
Unlearnable Examples For Time Series
Yujing Jiang
Xingjun Ma
S. Erfani
James Bailey
AI4TS
23
1
0
03 Feb 2024
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation
Yuansan Liu
S. Wijewickrema
Ang Li
C. Bester
Stephen O'Leary
James Bailey
ViT
AI4TS
21
7
0
18 Dec 2023
Generative Machine Learning for Multivariate Equity Returns
Ruslan Tepelyan
Achintya Gopal
AIFin
SyDa
29
4
0
21 Nov 2023
Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data
Tennessee Hickling
Dennis Prangle
16
4
0
01 Nov 2023
Synthetic Data as Validation
Qixing Hu
Alan L. Yuille
Zongwei Zhou
SyDa
OOD
22
8
0
24 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
25
2
0
16 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
F. Huang
Yangdong Deng
GAN
AI4TS
25
1
0
09 Sep 2023
Generating drawdown-realistic financial price paths using path signatures
Emiel Lemahieu
Kris Boudt
Maarten Wyns
19
1
0
08 Sep 2023
TSGBench: Time Series Generation Benchmark
Yihao Ang
Qiang Huang
Yifan Bao
Anthony K. H. Tung
Zhiyong Huang
AI4TS
28
16
0
07 Sep 2023
INTAGS: Interactive Agent-Guided Simulation
Song Wei
Andrea Coletta
Svitlana Vyetrenko
T. Balch
16
1
0
04 Sep 2023
FinDiff: Diffusion Models for Financial Tabular Data Generation
Timur Sattarov
Marco Schreyer
Damian Borth
DiffM
11
35
0
04 Sep 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Santanu Ganguly
GAN
48
2
0
15 Aug 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
34
2
0
31 Jul 2023
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling
Masanori Hirano
Kentaro Minami
Kentaro Imajo
GAN
24
3
0
25 Jul 2023
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers
Md Fahim Sikder
R. Ramachandranpillai
Fredrik Heintz
DiffM
26
9
0
24 Jul 2023
Sig-Splines: universal approximation and convex calibration of time series generative models
Magnus Wiese
Phillip Murray
R. Korn
AI4TS
25
1
0
19 Jul 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo
To Eun Kim
DiffM
MedIm
33
7
0
07 Jun 2023
GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network
Srikrishna Iyer
Teck-Hou Teng
AI4TS
13
1
0
03 Jun 2023
Generative modeling of time-dependent densities via optimal transport and projection pursuit
Jonah Botvinick-Greenhouse
Yunan Yang
R. Maulik
OT
11
2
0
19 Apr 2023
Generative modeling for time series via Schr{ö}dinger bridge
Mohamed Hamdouche
P. Henry-Labordère
H. Pham
AI4TS
DiffM
OT
32
11
0
11 Apr 2023
30 Years of Synthetic Data
Joerg Drechsler
Anna Haensch
30
15
0
04 Apr 2023
Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network
Jingyi Gu
Fadi P. Deek
Guiling Wang
GAN
AIFin
AI4TS
18
5
0
27 Feb 2023
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
33
140
0
08 Feb 2023
On the causality-preservation capabilities of generative modelling
Yves-Cédric Bauwelinckx
Jan Dhaene
Tim Verdonck
Milan van den Heuvel
CML
AI4CE
38
0
0
03 Jan 2023
StyleTime: Style Transfer for Synthetic Time Series Generation
Yousef El-Laham
Svitlana Vyetrenko
AI4TS
24
5
0
22 Sep 2022
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
R. Bhushan Gopaluni
Aditya Tulsyan
Benoît Chachuat
Biao Huang
J. M. Lee
Faraz Amjad
S. Damarla
Jong Woo Kim
Nathan P. Lawrence
AI4CE
11
38
0
22 Sep 2022
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
27
20
0
11 Aug 2022
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks
A. Wunderlich
Jack G. Sklar
AI4TS
40
4
0
03 Jul 2022
Simulating financial time series using attention
Weilong Fu
Ali Hirsa
Jörg Osterrieder
AI4TS
AIFin
GAN
17
4
0
01 Jul 2022
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Chang Sun
J. V. Soest
Michel Dumontier
SyDa
23
2
0
28 Jun 2022
Distributionally Robust End-to-End Portfolio Construction
Giorgio Costa
G. Iyengar
OOD
9
13
0
10 Jun 2022
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
40
109
0
06 May 2022
GANs as Gradient Flows that Converge
Yu‐Jui Huang
Yuchong Zhang
11
2
0
05 May 2022
Supervised machine learning classification for short straddles on the S&P500
Alexander Brunhuemer
Lukas Larcher
Philipp Seidl
Sascha Desmettre
Johannes Kofler
G. Larcher
10
3
0
26 Apr 2022
Downstream Fairness Caveats with Synthetic Healthcare Data
Karan Bhanot
Ioana Baldini
Dennis L. Wei
J. Zeng
Kristin P. Bennett
SyDa
16
2
0
09 Mar 2022
Risk-Neutral Market Simulation
Magnus Wiese
M. Phillip
21
2
0
28 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
39
20
0
31 Jan 2022
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